Overview

Dataset statistics

Number of variables378
Number of observations95412
Missing cells770663
Missing cells (%)2.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory278.4 MiB
Average record size in memory3.0 KiB

Variable types

NUM309
CAT68
BOOL1

Warnings

RFA_2R has constant value "95412" Constant
ODATEDW has a high cardinality: 54 distinct values High cardinality
OSOURCE has a high cardinality: 895 distinct values High cardinality
STATE has a high cardinality: 57 distinct values High cardinality
ZIP has a high cardinality: 19938 distinct values High cardinality
DOB has a high cardinality: 847 distinct values High cardinality
RFA_3 has a high cardinality: 70 distinct values High cardinality
RFA_4 has a high cardinality: 63 distinct values High cardinality
RFA_6 has a high cardinality: 108 distinct values High cardinality
RFA_7 has a high cardinality: 105 distinct values High cardinality
RFA_8 has a high cardinality: 108 distinct values High cardinality
RFA_9 has a high cardinality: 106 distinct values High cardinality
RFA_10 has a high cardinality: 93 distinct values High cardinality
RFA_11 has a high cardinality: 100 distinct values High cardinality
RFA_12 has a high cardinality: 106 distinct values High cardinality
RFA_14 has a high cardinality: 94 distinct values High cardinality
RFA_16 has a high cardinality: 122 distinct values High cardinality
RFA_17 has a high cardinality: 117 distinct values High cardinality
RFA_18 has a high cardinality: 121 distinct values High cardinality
RFA_19 has a high cardinality: 107 distinct values High cardinality
RFA_21 has a high cardinality: 101 distinct values High cardinality
RFA_22 has a high cardinality: 116 distinct values High cardinality
RFA_24 has a high cardinality: 96 distinct values High cardinality
MINRDATE has a high cardinality: 146 distinct values High cardinality
MAXRDATE has a high cardinality: 150 distinct values High cardinality
FISTDATE has a high cardinality: 176 distinct values High cardinality
NEXTDATE has a high cardinality: 188 distinct values High cardinality
DOB has 23883 (25.0%) missing values Missing
DOMAIN has 2316 (2.4%) missing values Missing
HOMEOWNR has 22228 (23.3%) missing values Missing
INCOME has 21286 (22.3%) missing values Missing
GENDER has 2957 (3.1%) missing values Missing
DATASRCE has 21280 (22.3%) missing values Missing
ADATE_3 has 1950 (2.0%) missing values Missing
ADATE_4 has 2191 (2.3%) missing values Missing
ADATE_5 has 33590 (35.2%) missing values Missing
ADATE_6 has 3557 (3.7%) missing values Missing
ADATE_7 has 8874 (9.3%) missing values Missing
ADATE_8 has 3511 (3.7%) missing values Missing
ADATE_9 has 11245 (11.8%) missing values Missing
ADATE_10 has 32748 (34.3%) missing values Missing
ADATE_11 has 10422 (10.9%) missing values Missing
ADATE_12 has 8923 (9.4%) missing values Missing
ADATE_14 has 18867 (19.8%) missing values Missing
ADATE_16 has 20364 (21.3%) missing values Missing
ADATE_17 has 27650 (29.0%) missing values Missing
ADATE_18 has 21263 (22.3%) missing values Missing
ADATE_19 has 24480 (25.7%) missing values Missing
ADATE_21 has 35212 (36.9%) missing values Missing
ADATE_22 has 25648 (26.9%) missing values Missing
ADATE_24 has 36973 (38.8%) missing values Missing
RFA_3 has 1950 (2.0%) missing values Missing
RFA_4 has 2312 (2.4%) missing values Missing
RFA_5 has 33590 (35.2%) missing values Missing
RFA_6 has 3557 (3.7%) missing values Missing
RFA_7 has 8874 (9.3%) missing values Missing
RFA_8 has 3511 (3.7%) missing values Missing
RFA_9 has 11245 (11.8%) missing values Missing
RFA_10 has 32748 (34.3%) missing values Missing
RFA_11 has 10422 (10.9%) missing values Missing
RFA_12 has 8923 (9.4%) missing values Missing
RFA_14 has 18867 (19.8%) missing values Missing
RFA_16 has 20417 (21.4%) missing values Missing
RFA_17 has 27650 (29.0%) missing values Missing
RFA_18 has 21263 (22.3%) missing values Missing
RFA_19 has 24492 (25.7%) missing values Missing
RFA_21 has 35212 (36.9%) missing values Missing
RFA_22 has 25648 (26.9%) missing values Missing
RFA_24 has 36973 (38.8%) missing values Missing
NEXTDATE has 9973 (10.5%) missing values Missing
TIMELAG has 9973 (10.5%) missing values Missing
TCODE is highly skewed (γ1 = 34.21050883) Skewed
ETH12 is highly skewed (γ1 = 30.65627538) Skewed
TPE6 is highly skewed (γ1 = 23.02196117) Skewed
AFC3 is highly skewed (γ1 = 26.24751506) Skewed
HC15 is highly skewed (γ1 = 24.18696945) Skewed
MINRAMNT is highly skewed (γ1 = 23.84991926) Skewed
MAXRAMNT is highly skewed (γ1 = 99.78376176) Skewed
TIMELAG is highly skewed (γ1 = 52.6241642) Skewed
AVGGIFT is highly skewed (γ1 = 26.0494288) Skewed
CONTROLN has unique values Unique
TCODE has 40917 (42.9%) zeros Zeros
HIT has 55672 (58.3%) zeros Zeros
MALEMILI has 73998 (77.6%) zeros Zeros
MALEVET has 3318 (3.5%) zeros Zeros
VIETVETS has 5502 (5.8%) zeros Zeros
WWIIVETS has 5264 (5.5%) zeros Zeros
LOCALGOV has 6140 (6.4%) zeros Zeros
STATEGOV has 14317 (15.0%) zeros Zeros
FEDGOV has 20613 (21.6%) zeros Zeros
POP90C1 has 35415 (37.1%) zeros Zeros
POP90C2 has 76382 (80.1%) zeros Zeros
POP90C3 has 56461 (59.2%) zeros Zeros
ETH1 has 1075 (1.1%) zeros Zeros
ETH2 has 31240 (32.7%) zeros Zeros
ETH3 has 62275 (65.3%) zeros Zeros
ETH4 has 37177 (39.0%) zeros Zeros
ETH5 has 15803 (16.6%) zeros Zeros
ETH6 has 80799 (84.7%) zeros Zeros
ETH7 has 78849 (82.6%) zeros Zeros
ETH8 has 74176 (77.7%) zeros Zeros
ETH9 has 75931 (79.6%) zeros Zeros
ETH10 has 81878 (85.8%) zeros Zeros
ETH11 has 85105 (89.2%) zeros Zeros
ETH12 has 94160 (98.7%) zeros Zeros
ETH13 has 34032 (35.7%) zeros Zeros
ETH14 has 79619 (83.4%) zeros Zeros
ETH15 has 87781 (92.0%) zeros Zeros
ETH16 has 42870 (44.9%) zeros Zeros
AGE907 has 1257 (1.3%) zeros Zeros
CHIL1 has 1149 (1.2%) zeros Zeros
CHIL2 has 1189 (1.2%) zeros Zeros
CHIL3 has 1156 (1.2%) zeros Zeros
AGEC1 has 1161 (1.2%) zeros Zeros
AGEC2 has 1007 (1.1%) zeros Zeros
AGEC5 has 968 (1.0%) zeros Zeros
AGEC6 has 1061 (1.1%) zeros Zeros
AGEC7 has 1745 (1.8%) zeros Zeros
CHILC1 has 1268 (1.3%) zeros Zeros
CHILC2 has 1322 (1.4%) zeros Zeros
CHILC3 has 1225 (1.3%) zeros Zeros
CHILC4 has 1317 (1.4%) zeros Zeros
CHILC5 has 1075 (1.1%) zeros Zeros
HHAGE2 has 2063 (2.2%) zeros Zeros
HHAGE3 has 1031 (1.1%) zeros Zeros
HHN4 has 1365 (1.4%) zeros Zeros
HHN5 has 2069 (2.2%) zeros Zeros
HHN6 has 5095 (5.3%) zeros Zeros
MARR3 has 1071 (1.1%) zeros Zeros
DW1 has 1169 (1.2%) zeros Zeros
DW2 has 1558 (1.6%) zeros Zeros
DW3 has 35949 (37.7%) zeros Zeros
DW4 has 16326 (17.1%) zeros Zeros
DW5 has 24860 (26.1%) zeros Zeros
DW6 has 34134 (35.8%) zeros Zeros
DW7 has 66889 (70.1%) zeros Zeros
DW8 has 74846 (78.4%) zeros Zeros
DW9 has 83535 (87.6%) zeros Zeros
HV1 has 1117 (1.2%) zeros Zeros
HV2 has 1117 (1.2%) zeros Zeros
HV4 has 1229 (1.3%) zeros Zeros
HU1 has 1073 (1.1%) zeros Zeros
HU4 has 1552 (1.6%) zeros Zeros
HU5 has 29653 (31.1%) zeros Zeros
HHD1 has 1277 (1.3%) zeros Zeros
HHD4 has 1376 (1.4%) zeros Zeros
HHD7 has 1694 (1.8%) zeros Zeros
HHD8 has 10080 (10.6%) zeros Zeros
HHD9 has 1995 (2.1%) zeros Zeros
HHD12 has 1776 (1.9%) zeros Zeros
ETHC1 has 2544 (2.7%) zeros Zeros
ETHC2 has 1306 (1.4%) zeros Zeros
ETHC3 has 1781 (1.9%) zeros Zeros
ETHC4 has 54820 (57.5%) zeros Zeros
ETHC5 has 38227 (40.1%) zeros Zeros
ETHC6 has 75085 (78.7%) zeros Zeros
HVP1 has 40051 (42.0%) zeros Zeros
HVP2 has 24097 (25.3%) zeros Zeros
HVP3 has 8692 (9.1%) zeros Zeros
HVP4 has 2955 (3.1%) zeros Zeros
HVP5 has 1295 (1.4%) zeros Zeros
HVP6 has 61118 (64.1%) zeros Zeros
HUR1 has 17095 (17.9%) zeros Zeros
HUPA1 has 17899 (18.8%) zeros Zeros
HUPA2 has 44554 (46.7%) zeros Zeros
HUPA3 has 48359 (50.7%) zeros Zeros
HUPA4 has 2067 (2.2%) zeros Zeros
HUPA5 has 25513 (26.7%) zeros Zeros
HUPA6 has 36538 (38.3%) zeros Zeros
HUPA7 has 55704 (58.4%) zeros Zeros
RP1 has 16042 (16.8%) zeros Zeros
RP2 has 6483 (6.8%) zeros Zeros
RP3 has 1723 (1.8%) zeros Zeros
RP4 has 963 (1.0%) zeros Zeros
MSA has 21333 (22.4%) zeros Zeros
IC6 has 2177 (2.3%) zeros Zeros
IC7 has 1858 (1.9%) zeros Zeros
IC8 has 1582 (1.7%) zeros Zeros
IC9 has 1424 (1.5%) zeros Zeros
IC10 has 2525 (2.6%) zeros Zeros
IC11 has 14562 (15.3%) zeros Zeros
IC12 has 38694 (40.6%) zeros Zeros
IC13 has 61424 (64.4%) zeros Zeros
IC14 has 52170 (54.7%) zeros Zeros
IC15 has 5579 (5.8%) zeros Zeros
IC16 has 3304 (3.5%) zeros Zeros
IC17 has 2444 (2.6%) zeros Zeros
IC18 has 1912 (2.0%) zeros Zeros
IC19 has 3175 (3.3%) zeros Zeros
IC20 has 16124 (16.9%) zeros Zeros
IC21 has 39568 (41.5%) zeros Zeros
IC22 has 61356 (64.3%) zeros Zeros
IC23 has 52706 (55.2%) zeros Zeros
HHAS1 has 1179 (1.2%) zeros Zeros
HHAS2 has 10154 (10.6%) zeros Zeros
HHAS3 has 1041 (1.1%) zeros Zeros
HHAS4 has 4357 (4.6%) zeros Zeros
MC3 has 2815 (3.0%) zeros Zeros
TPE2 has 2320 (2.4%) zeros Zeros
TPE3 has 50524 (53.0%) zeros Zeros
TPE4 has 56252 (59.0%) zeros Zeros
TPE5 has 87266 (91.5%) zeros Zeros
TPE6 has 90483 (94.8%) zeros Zeros
TPE7 has 80140 (84.0%) zeros Zeros
TPE8 has 15711 (16.5%) zeros Zeros
TPE9 has 16912 (17.7%) zeros Zeros
PEC1 has 44833 (47.0%) zeros Zeros
PEC2 has 7250 (7.6%) zeros Zeros
TPE12 has 11550 (12.1%) zeros Zeros
LFC6 has 1937 (2.0%) zeros Zeros
LFC7 has 2525 (2.6%) zeros Zeros
LFC8 has 9313 (9.8%) zeros Zeros
LFC9 has 30500 (32.0%) zeros Zeros
LFC10 has 28122 (29.5%) zeros Zeros
OCC1 has 2169 (2.3%) zeros Zeros
OCC2 has 2372 (2.5%) zeros Zeros
OCC3 has 10097 (10.6%) zeros Zeros
OCC4 has 1789 (1.9%) zeros Zeros
OCC5 has 1401 (1.5%) zeros Zeros
OCC6 has 70424 (73.8%) zeros Zeros
OCC7 has 28233 (29.6%) zeros Zeros
OCC8 has 2218 (2.3%) zeros Zeros
OCC9 has 34279 (35.9%) zeros Zeros
OCC10 has 2634 (2.8%) zeros Zeros
OCC11 has 9888 (10.4%) zeros Zeros
OCC12 has 12087 (12.7%) zeros Zeros
OCC13 has 11776 (12.3%) zeros Zeros
EIC1 has 30576 (32.0%) zeros Zeros
EIC2 has 74066 (77.6%) zeros Zeros
EIC3 has 5154 (5.4%) zeros Zeros
EIC4 has 2055 (2.2%) zeros Zeros
EIC5 has 8729 (9.1%) zeros Zeros
EIC6 has 15463 (16.2%) zeros Zeros
EIC7 has 8628 (9.0%) zeros Zeros
EIC8 has 1338 (1.4%) zeros Zeros
EIC9 has 4980 (5.2%) zeros Zeros
EIC10 has 6277 (6.6%) zeros Zeros
EIC11 has 11713 (12.3%) zeros Zeros
EIC12 has 33308 (34.9%) zeros Zeros
EIC13 has 2943 (3.1%) zeros Zeros
EIC14 has 3644 (3.8%) zeros Zeros
EIC15 has 4411 (4.6%) zeros Zeros
EIC16 has 9008 (9.4%) zeros Zeros
OEDC1 has 3860 (4.0%) zeros Zeros
OEDC2 has 11983 (12.6%) zeros Zeros
OEDC3 has 18627 (19.5%) zeros Zeros
OEDC4 has 3947 (4.1%) zeros Zeros
OEDC6 has 4834 (5.1%) zeros Zeros
OEDC7 has 65047 (68.2%) zeros Zeros
EC2 has 6218 (6.5%) zeros Zeros
EC3 has 1879 (2.0%) zeros Zeros
EC4 has 955 (1.0%) zeros Zeros
EC5 has 970 (1.0%) zeros Zeros
EC6 has 2637 (2.8%) zeros Zeros
EC7 has 2138 (2.2%) zeros Zeros
EC8 has 5922 (6.2%) zeros Zeros
SEC1 has 8942 (9.4%) zeros Zeros
SEC2 has 1087 (1.1%) zeros Zeros
SEC3 has 13144 (13.8%) zeros Zeros
SEC4 has 1623 (1.7%) zeros Zeros
SEC5 has 1889 (2.0%) zeros Zeros
AFC1 has 78106 (81.9%) zeros Zeros
AFC2 has 73368 (76.9%) zeros Zeros
AFC3 has 89749 (94.1%) zeros Zeros
AFC4 has 962 (1.0%) zeros Zeros
AFC5 has 965 (1.0%) zeros Zeros
AFC6 has 38104 (39.9%) zeros Zeros
VC1 has 3150 (3.3%) zeros Zeros
VC2 has 6030 (6.3%) zeros Zeros
VC3 has 2912 (3.1%) zeros Zeros
VC4 has 16207 (17.0%) zeros Zeros
ANC1 has 56027 (58.7%) zeros Zeros
ANC2 has 7156 (7.5%) zeros Zeros
ANC3 has 43506 (45.6%) zeros Zeros
ANC4 has 3969 (4.2%) zeros Zeros
ANC5 has 83321 (87.3%) zeros Zeros
ANC6 has 82367 (86.3%) zeros Zeros
ANC7 has 5819 (6.1%) zeros Zeros
ANC8 has 32602 (34.2%) zeros Zeros
ANC9 has 63082 (66.1%) zeros Zeros
ANC10 has 46980 (49.2%) zeros Zeros
ANC11 has 86841 (91.0%) zeros Zeros
ANC12 has 78328 (82.1%) zeros Zeros
ANC13 has 47175 (49.4%) zeros Zeros
ANC14 has 54380 (57.0%) zeros Zeros
ANC15 has 89549 (93.9%) zeros Zeros
POBC1 has 16115 (16.9%) zeros Zeros
POBC2 has 1038 (1.1%) zeros Zeros
LSC2 has 19000 (19.9%) zeros Zeros
LSC3 has 57072 (59.8%) zeros Zeros
LSC4 has 13470 (14.1%) zeros Zeros
VOC2 has 983 (1.0%) zeros Zeros
VOC3 has 2161 (2.3%) zeros Zeros
HC1 has 970 (1.0%) zeros Zeros
HC3 has 49919 (52.3%) zeros Zeros
HC4 has 26755 (28.0%) zeros Zeros
HC5 has 18117 (19.0%) zeros Zeros
HC6 has 8767 (9.2%) zeros Zeros
HC7 has 4089 (4.3%) zeros Zeros
HC8 has 10198 (10.7%) zeros Zeros
HC9 has 69834 (73.2%) zeros Zeros
HC10 has 69372 (72.7%) zeros Zeros
HC11 has 9588 (10.0%) zeros Zeros
HC12 has 35875 (37.6%) zeros Zeros
HC13 has 5739 (6.0%) zeros Zeros
HC14 has 52292 (54.8%) zeros Zeros
HC15 has 91426 (95.8%) zeros Zeros
HC16 has 42397 (44.4%) zeros Zeros
HC17 has 2599 (2.7%) zeros Zeros
HC18 has 46610 (48.9%) zeros Zeros
HC19 has 3540 (3.7%) zeros Zeros
MHUC1 has 2380 (2.5%) zeros Zeros
MHUC2 has 3667 (3.8%) zeros Zeros
AC1 has 2497 (2.6%) zeros Zeros
AC2 has 2602 (2.7%) zeros Zeros
CARDGIFT has 4968 (5.2%) zeros Zeros

Reproduction

Analysis started2020-12-15 13:41:03.164698
Analysis finished2020-12-15 13:43:14.605620
Duration2 minutes and 11.44 seconds
Software versionpandas-profiling v2.9.0
Download configurationconfig.yaml

Variables

ODATEDW
Categorical

HIGH CARDINALITY

Distinct54
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size745.4 KiB
2015-01-01
15358 
2006-01-01
14596 
2014-01-01
12065 
2016-01-01
10122 
2011-01-01
8552 
Other values (49)
34719 
ValueCountFrequency (%) 
2015-01-011535816.1%
 
2006-01-011459615.3%
 
2014-01-011206512.6%
 
2016-01-011012210.6%
 
2011-01-0185529.0%
 
2010-01-0177188.1%
 
2012-01-0175397.9%
 
2008-01-0166697.0%
 
2009-01-0153425.6%
 
2013-01-0139214.1%
 
Other values (44)35303.7%
 
2020-12-15T13:43:14.754680image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique27 ?
Unique (%)< 0.1%

OSOURCE
Categorical

HIGH CARDINALITY

Distinct895
Distinct (%)0.9%
Missing928
Missing (%)1.0%
Memory size745.4 KiB
MBC
 
4539
SYN
 
3563
AML
 
3430
BHG
 
3324
IMP
 
2986
Other values (890)
76642 
ValueCountFrequency (%) 
MBC45394.8%
 
SYN35633.7%
 
AML34303.6%
 
BHG33243.5%
 
IMP29863.1%
 
ARG24092.5%
 
L0122702.4%
 
HOS21922.3%
 
AMB21842.3%
 
FRC21642.3%
 
Other values (885)6542368.6%
 
2020-12-15T13:43:14.937677image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique95 ?
Unique (%)0.1%

TCODE
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct55
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.22311659
Minimum0
Maximum72002
Zeros40917
Zeros (%)42.9%
Memory size745.4 KiB
2020-12-15T13:43:15.096941image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile28
Maximum72002
Range72002
Interquartile range (IQR)2

Descriptive statistics

Standard deviation953.8444758
Coefficient of variation (CV)17.59110387
Kurtosis1363.505742
Mean54.22311659
Median Absolute Deviation (MAD)1
Skewness34.21050883
Sum5173536
Variance909819.2841
MonotocityNot monotonic
2020-12-15T13:43:15.247494image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
04091742.9%
 
12569126.9%
 
21700617.8%
 
2882588.7%
 
100218612.0%
 
38350.9%
 
43670.4%
 
28028710.1%
 
72630.1%
 
980540.1%
 
Other values (45)2890.3%
 
ValueCountFrequency (%) 
04091742.9%
 
12569126.9%
 
21700617.8%
 
38350.9%
 
43670.4%
 
ValueCountFrequency (%) 
720021< 0.1%
 
580021< 0.1%
 
3900211< 0.1%
 
28028710.1%
 
240021< 0.1%
 

STATE
Categorical

HIGH CARDINALITY

Distinct57
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size745.4 KiB
CA
17343 
FL
8376 
TX
7535 
IL
6420 
MI
5654 
Other values (52)
50084 
ValueCountFrequency (%) 
CA1734318.2%
 
FL83768.8%
 
TX75357.9%
 
IL64206.7%
 
MI56545.9%
 
NC41604.4%
 
WA35773.7%
 
GA34033.6%
 
IN29803.1%
 
WI27952.9%
 
Other values (47)3316934.8%
 
2020-12-15T13:43:15.430230image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)< 0.1%

ZIP
Categorical

HIGH CARDINALITY

Distinct19938
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Memory size745.4 KiB
85351
 
61
92653
 
59
85710
 
54
95608
 
50
89117
 
45
Other values (19933)
95143 
ValueCountFrequency (%) 
85351610.1%
 
92653590.1%
 
85710540.1%
 
95608500.1%
 
8911745< 0.1%
 
6061945< 0.1%
 
9203745< 0.1%
 
4809344< 0.1%
 
6063043< 0.1%
 
9455843< 0.1%
 
Other values (19928)9492399.5%
 
2020-12-15T13:43:15.652308image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique8269 ?
Unique (%)8.7%

MAILCODE
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size745.4 KiB
Address is OK
94013 
Bad Address
 
1399
ValueCountFrequency (%) 
Address is OK9401398.5%
 
Bad Address13991.5%
 
2020-12-15T13:43:15.795252image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

DOB
Categorical

HIGH CARDINALITY
MISSING

Distinct847
Distinct (%)1.2%
Missing23883
Missing (%)25.0%
Memory size745.4 KiB
1968-01-01
 
1479
1970-01-01
 
1380
1950-01-01
 
1330
1940-01-01
 
1240
1960-01-01
 
1239
Other values (842)
64861 
ValueCountFrequency (%) 
1968-01-0114791.6%
 
1970-01-0113801.4%
 
1950-01-0113301.4%
 
1940-01-0112401.3%
 
1960-01-0112391.3%
 
1948-01-0112251.3%
 
1964-01-0112101.3%
 
1972-01-0112021.3%
 
1942-01-0111921.2%
 
1946-01-0111921.2%
 
Other values (837)5884061.7%
 
(Missing)2388325.0%
 
2020-12-15T13:43:16.053276image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique64 ?
Unique (%)0.1%

NOEXCH
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size745.4 KiB
can be exchanged
95092 
do not exchange
 
320
ValueCountFrequency (%) 
can be exchanged9509299.7%
 
do not exchange3200.3%
 
2020-12-15T13:43:16.194874image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

RECINHSE
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size745.4 KiB
Not an In House Record
88709 
Donor has given to PVA's In House program
 
6703
ValueCountFrequency (%) 
Not an In House Record8870993.0%
 
Donor has given to PVA's In House program67037.0%
 
2020-12-15T13:43:16.306211image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

RECP3
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size745.4 KiB
Not a P3 Record
93395 
Donor has given to PVA's P3 program
 
2017
ValueCountFrequency (%) 
Not a P3 Record9339597.9%
 
Donor has given to PVA's P3 program20172.1%
 
2020-12-15T13:43:16.413771image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

RECPGVG
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size745.4 KiB
Not a Planned Giving Record
95298 
Planned Giving Record
 
114
ValueCountFrequency (%) 
Not a Planned Giving Record9529899.9%
 
Planned Giving Record1140.1%
 
2020-12-15T13:43:16.526493image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

RECSWEEP
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size745.4 KiB
Not a Sweepstakes Record
93795 
Sweepstakes Record
 
1617
ValueCountFrequency (%) 
Not a Sweepstakes Record9379598.3%
 
Sweepstakes Record16171.7%
 
2020-12-15T13:43:16.638334image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

MDMAUD
Categorical

Distinct28
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size745.4 KiB
XXXX
95118 
C1CM
 
65
L1CM
 
44
I1CM
 
37
D2CM
 
28
Other values (23)
 
120
ValueCountFrequency (%) 
XXXX9511899.7%
 
C1CM650.1%
 
L1CM44< 0.1%
 
I1CM37< 0.1%
 
D2CM28< 0.1%
 
C2CM24< 0.1%
 
D1CM20< 0.1%
 
L2CM15< 0.1%
 
L1LM8< 0.1%
 
C1LM8< 0.1%
 
Other values (18)45< 0.1%
 
2020-12-15T13:43:16.764851image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique9 ?
Unique (%)< 0.1%

DOMAIN
Categorical

MISSING

Distinct16
Distinct (%)< 0.1%
Missing2316
Missing (%)2.4%
Memory size745.4 KiB
R2
13623 
T2
12369 
S1
11503 
S2
8530 
C2
8264 
Other values (11)
38807 
ValueCountFrequency (%) 
R21362314.3%
 
T21236913.0%
 
S11150312.1%
 
S285308.9%
 
C282648.7%
 
C161456.4%
 
C352805.5%
 
T149825.2%
 
R348095.0%
 
U145104.7%
 
Other values (6)1308113.7%
 
2020-12-15T13:43:16.905996image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

HOMEOWNR
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing22228
Missing (%)23.3%
Memory size745.4 KiB
H
52354 
U
20830 
ValueCountFrequency (%) 
H5235454.9%
 
U2083021.8%
 
(Missing)2222823.3%
 
2020-12-15T13:43:17.037926image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

INCOME
Real number (ℝ≥0)

MISSING

Distinct7
Distinct (%)< 0.1%
Missing21286
Missing (%)22.3%
Infinite0
Infinite (%)0.0%
Mean3.88624774
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Memory size745.4 KiB
2020-12-15T13:43:17.140744image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile7
Maximum7
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.854959501
Coefficient of variation (CV)0.4773137549
Kurtosis-1.087148577
Mean3.88624774
Median Absolute Deviation (MAD)2
Skewness0.02003007225
Sum288072
Variance3.440874751
MonotocityNot monotonic
2020-12-15T13:43:17.241583image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%) 
51545116.2%
 
21311413.7%
 
41273213.3%
 
190229.5%
 
385589.0%
 
677788.2%
 
774717.8%
 
(Missing)2128622.3%
 
ValueCountFrequency (%) 
190229.5%
 
21311413.7%
 
385589.0%
 
41273213.3%
 
51545116.2%
 
ValueCountFrequency (%) 
774717.8%
 
677788.2%
 
51545116.2%
 
41273213.3%
 
385589.0%
 

GENDER
Categorical

MISSING

Distinct6
Distinct (%)< 0.1%
Missing2957
Missing (%)3.1%
Memory size745.4 KiB
F
51277 
M
39094 
U
 
1715
J
 
365
A
 
2
ValueCountFrequency (%) 
F5127753.7%
 
M3909441.0%
 
U17151.8%
 
J3650.4%
 
A2< 0.1%
 
C2< 0.1%
 
(Missing)29573.1%
 
2020-12-15T13:43:17.375298image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

HIT
Real number (ℝ≥0)

ZEROS

Distinct75
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.321437555
Minimum0
Maximum241
Zeros55672
Zeros (%)58.3%
Memory size745.4 KiB
2020-12-15T13:43:17.509417image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile17
Maximum241
Range241
Interquartile range (IQR)3

Descriptive statistics

Standard deviation9.30689879
Coefficient of variation (CV)2.802069476
Kurtosis326.0662502
Mean3.321437555
Median Absolute Deviation (MAD)0
Skewness13.92161019
Sum316905
Variance86.61836509
MonotocityNot monotonic
2020-12-15T13:43:17.671478image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
05567258.3%
 
182008.6%
 
256225.9%
 
333773.5%
 
428203.0%
 
522952.4%
 
621082.2%
 
716811.8%
 
815251.6%
 
913061.4%
 
Other values (65)1080611.3%
 
ValueCountFrequency (%) 
05567258.3%
 
182008.6%
 
256225.9%
 
333773.5%
 
428203.0%
 
ValueCountFrequency (%) 
2414< 0.1%
 
240700.1%
 
841< 0.1%
 
791< 0.1%
 
752< 0.1%
 

DATASRCE
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing21280
Missing (%)22.3%
Memory size745.4 KiB
3
43549 
2
23455 
1
7128 
ValueCountFrequency (%) 
34354945.6%
 
22345524.6%
 
171287.5%
 
(Missing)2128022.3%
 
2020-12-15T13:43:17.819945image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

MALEMILI
Real number (ℝ≥0)

ZEROS

Distinct95
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.048442544
Minimum0
Maximum99
Zeros73998
Zeros (%)77.6%
Memory size745.4 KiB
2020-12-15T13:43:17.963509image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5.065522301
Coefficient of variation (CV)4.831473437
Kurtosis172.4881201
Mean1.048442544
Median Absolute Deviation (MAD)0
Skewness11.65018147
Sum100034
Variance25.65951618
MonotocityNot monotonic
2020-12-15T13:43:18.125257image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
07399877.6%
 
192929.7%
 
243244.5%
 
320632.2%
 
411851.2%
 
58070.8%
 
65490.6%
 
73890.4%
 
83660.4%
 
92440.3%
 
Other values (85)21952.3%
 
ValueCountFrequency (%) 
07399877.6%
 
192929.7%
 
243244.5%
 
320632.2%
 
411851.2%
 
ValueCountFrequency (%) 
991< 0.1%
 
981< 0.1%
 
973< 0.1%
 
966< 0.1%
 
952< 0.1%
 

MALEVET
Real number (ℝ≥0)

ZEROS

Distinct89
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.44533182
Minimum0
Maximum99
Zeros3318
Zeros (%)3.5%
Memory size745.4 KiB
2020-12-15T13:43:18.288907image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q124
median31
Q337
95-th percentile49
Maximum99
Range99
Interquartile range (IQR)13

Descriptive statistics

Standard deviation11.47055411
Coefficient of variation (CV)0.3767590439
Kurtosis1.278372129
Mean30.44533182
Median Absolute Deviation (MAD)6
Skewness-0.1790539706
Sum2904850
Variance131.5736115
MonotocityNot monotonic
2020-12-15T13:43:18.444095image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3143054.5%
 
3042954.5%
 
3241384.3%
 
2941194.3%
 
3340754.3%
 
2840204.2%
 
2737553.9%
 
3437423.9%
 
3535453.7%
 
2635223.7%
 
Other values (79)5589658.6%
 
ValueCountFrequency (%) 
033183.5%
 
121< 0.1%
 
2570.1%
 
3820.1%
 
41300.1%
 
ValueCountFrequency (%) 
995< 0.1%
 
981< 0.1%
 
901< 0.1%
 
856< 0.1%
 
845< 0.1%
 

VIETVETS
Real number (ℝ≥0)

ZEROS

Distinct95
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.70231208
Minimum0
Maximum99
Zeros5502
Zeros (%)5.8%
Memory size745.4 KiB
2020-12-15T13:43:18.727613image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120
median29
Q339
95-th percentile55
Maximum99
Range99
Interquartile range (IQR)19

Descriptive statistics

Standard deviation15.09775151
Coefficient of variation (CV)0.5083022315
Kurtosis0.5494792944
Mean29.70231208
Median Absolute Deviation (MAD)9
Skewness0.267682242
Sum2833957
Variance227.9421007
MonotocityNot monotonic
2020-12-15T13:43:18.886908image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
055025.8%
 
2730753.2%
 
2830463.2%
 
3129563.1%
 
2929083.0%
 
3228803.0%
 
3028603.0%
 
2627032.8%
 
3326982.8%
 
2526232.7%
 
Other values (85)6416167.2%
 
ValueCountFrequency (%) 
055025.8%
 
114< 0.1%
 
2740.1%
 
31280.1%
 
42550.3%
 
ValueCountFrequency (%) 
991070.1%
 
932< 0.1%
 
922< 0.1%
 
914< 0.1%
 
905< 0.1%
 

WWIIVETS
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.63771853
Minimum0
Maximum99
Zeros5264
Zeros (%)5.5%
Memory size745.4 KiB
2020-12-15T13:43:19.046854image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q121
median32
Q343
95-th percentile64
Maximum99
Range99
Interquartile range (IQR)22

Descriptive statistics

Standard deviation17.70906496
Coefficient of variation (CV)0.5425950636
Kurtosis0.4528933536
Mean32.63771853
Median Absolute Deviation (MAD)11
Skewness0.4325934714
Sum3114030
Variance313.6109817
MonotocityNot monotonic
2020-12-15T13:43:19.202406image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
052645.5%
 
3225502.7%
 
3324772.6%
 
2823982.5%
 
3523342.4%
 
2923302.4%
 
3823092.4%
 
3023082.4%
 
3623052.4%
 
3122902.4%
 
Other values (90)6884772.2%
 
ValueCountFrequency (%) 
052645.5%
 
135< 0.1%
 
2950.1%
 
31830.2%
 
43010.3%
 
ValueCountFrequency (%) 
991890.2%
 
986< 0.1%
 
977< 0.1%
 
9625< 0.1%
 
957< 0.1%
 

LOCALGOV
Real number (ℝ≥0)

ZEROS

Distinct55
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.842325913
Minimum0
Maximum99
Zeros6140
Zeros (%)6.4%
Memory size745.4 KiB
2020-12-15T13:43:19.359823image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median6
Q39
95-th percentile15
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.39169909
Coefficient of variation (CV)0.6418430145
Kurtosis10.79042806
Mean6.842325913
Median Absolute Deviation (MAD)2
Skewness1.635912155
Sum652840
Variance19.2870209
MonotocityNot monotonic
2020-12-15T13:43:19.520712image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
61102511.6%
 
51101611.5%
 
71002810.5%
 
491379.6%
 
884778.9%
 
966417.0%
 
366236.9%
 
061406.4%
 
1050615.3%
 
242534.5%
 
Other values (45)1701117.8%
 
ValueCountFrequency (%) 
061406.4%
 
117091.8%
 
242534.5%
 
366236.9%
 
491379.6%
 
ValueCountFrequency (%) 
992< 0.1%
 
711< 0.1%
 
641< 0.1%
 
599< 0.1%
 
571< 0.1%
 

STATEGOV
Real number (ℝ≥0)

ZEROS

Distinct65
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.568565799
Minimum0
Maximum99
Zeros14317
Zeros (%)15.0%
Memory size745.4 KiB
2020-12-15T13:43:19.683191image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q36
95-th percentile14
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.126618309
Coefficient of variation (CV)1.122150481
Kurtosis15.11500042
Mean4.568565799
Median Absolute Deviation (MAD)2
Skewness2.956730558
Sum435896
Variance26.28221528
MonotocityNot monotonic
2020-12-15T13:43:19.838784image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01431715.0%
 
21408014.8%
 
31268713.3%
 
11030810.8%
 
4992910.4%
 
573757.7%
 
656345.9%
 
742554.5%
 
834073.6%
 
925632.7%
 
Other values (55)1085711.4%
 
ValueCountFrequency (%) 
01431715.0%
 
11030810.8%
 
21408014.8%
 
31268713.3%
 
4992910.4%
 
ValueCountFrequency (%) 
991< 0.1%
 
731< 0.1%
 
652< 0.1%
 
631< 0.1%
 
611< 0.1%
 

FEDGOV
Real number (ℝ≥0)

ZEROS

Distinct55
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.110866558
Minimum0
Maximum87
Zeros20613
Zeros (%)21.6%
Memory size745.4 KiB
2020-12-15T13:43:19.995805image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile10
Maximum87
Range87
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.155168202
Coefficient of variation (CV)1.335694773
Kurtosis24.47729217
Mean3.110866558
Median Absolute Deviation (MAD)2
Skewness3.880651712
Sum296814
Variance17.26542279
MonotocityNot monotonic
2020-12-15T13:43:20.146392image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02061321.6%
 
21835919.2%
 
11693517.7%
 
31208912.7%
 
479148.3%
 
551315.4%
 
634903.7%
 
724412.6%
 
817911.9%
 
912791.3%
 
Other values (45)53705.6%
 
ValueCountFrequency (%) 
02061321.6%
 
11693517.7%
 
21835919.2%
 
31208912.7%
 
479148.3%
 
ValueCountFrequency (%) 
871< 0.1%
 
602< 0.1%
 
591< 0.1%
 
521< 0.1%
 
516< 0.1%
 

MAJOR
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size745.4 KiB
Not a Major Donor
95118 
Major Donor
 
294
ValueCountFrequency (%) 
Not a Major Donor9511899.7%
 
Major Donor2940.3%
 
2020-12-15T13:43:20.283196image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

POP901
Real number (ℝ≥0)

Distinct9906
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3255.880204
Minimum0
Maximum98701
Zeros799
Zeros (%)0.8%
Memory size745.4 KiB
2020-12-15T13:43:20.414910image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile521
Q1990
median1565
Q33091
95-th percentile10836
Maximum98701
Range98701
Interquartile range (IQR)2101

Descriptive statistics

Standard deviation5743.217266
Coefficient of variation (CV)1.763952267
Kurtosis48.82990635
Mean3255.880204
Median Absolute Deviation (MAD)741
Skewness5.86185135
Sum310650042
Variance32984544.57
MonotocityNot monotonic
2020-12-15T13:43:20.573257image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
07990.8%
 
1086780.1%
 
923770.1%
 
1094750.1%
 
834730.1%
 
931720.1%
 
1015710.1%
 
878700.1%
 
1112700.1%
 
984700.1%
 
Other values (9896)9395798.5%
 
ValueCountFrequency (%) 
07990.8%
 
110< 0.1%
 
25< 0.1%
 
38< 0.1%
 
43< 0.1%
 
ValueCountFrequency (%) 
987016< 0.1%
 
965561< 0.1%
 
963711< 0.1%
 
951021< 0.1%
 
908322< 0.1%
 

POP902
Real number (ℝ≥0)

Distinct4786
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean864.9930826
Minimum0
Maximum23766
Zeros842
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:43:20.728212image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile131
Q1265
median421
Q3840
95-th percentile2944
Maximum23766
Range23766
Interquartile range (IQR)575

Descriptive statistics

Standard deviation1458.103434
Coefficient of variation (CV)1.685682191
Kurtosis38.80860622
Mean864.9930826
Median Absolute Deviation (MAD)201
Skewness5.298445869
Sum82530720
Variance2126065.625
MonotocityNot monotonic
2020-12-15T13:43:20.878181image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
08420.9%
 
2962250.2%
 
2612170.2%
 
2652170.2%
 
2812150.2%
 
2682140.2%
 
2412130.2%
 
2252110.2%
 
2372080.2%
 
2572070.2%
 
Other values (4776)9264397.1%
 
ValueCountFrequency (%) 
08420.9%
 
133< 0.1%
 
212< 0.1%
 
320< 0.1%
 
410< 0.1%
 
ValueCountFrequency (%) 
237661< 0.1%
 
222371< 0.1%
 
221241< 0.1%
 
217032< 0.1%
 
210621< 0.1%
 

POP903
Real number (ℝ≥0)

Distinct5698
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1222.57346
Minimum0
Maximum35403
Zeros817
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:43:21.030411image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile204
Q1377
median585
Q31165
95-th percentile4039.45
Maximum35403
Range35403
Interquartile range (IQR)788

Descriptive statistics

Standard deviation2123.096242
Coefficient of variation (CV)1.736579691
Kurtosis40.89543434
Mean1222.57346
Median Absolute Deviation (MAD)271
Skewness5.498039211
Sum116648179
Variance4507537.652
MonotocityNot monotonic
2020-12-15T13:43:21.181639image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
08170.9%
 
3401740.2%
 
4851640.2%
 
3801630.2%
 
3811630.2%
 
3721620.2%
 
3301610.2%
 
3971590.2%
 
3751580.2%
 
3111570.2%
 
Other values (5688)9313497.6%
 
ValueCountFrequency (%) 
08170.9%
 
132< 0.1%
 
213< 0.1%
 
312< 0.1%
 
414< 0.1%
 
ValueCountFrequency (%) 
354032< 0.1%
 
341651< 0.1%
 
326831< 0.1%
 
312001< 0.1%
 
311671< 0.1%
 

POP90C1
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.58965329
Minimum0
Maximum99
Zeros35415
Zeros (%)37.1%
Memory size745.4 KiB
2020-12-15T13:43:21.515544image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median99
Q399
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)99

Descriptive statistics

Standard deviation47.43077375
Coefficient of variation (CV)0.8095418061
Kurtosis-1.816472481
Mean58.58965329
Median Absolute Deviation (MAD)0
Skewness-0.382261905
Sum5590156
Variance2249.678298
MonotocityNot monotonic
2020-12-15T13:43:21.670750image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
995054853.0%
 
03541537.1%
 
985100.5%
 
974530.5%
 
953310.3%
 
963280.3%
 
942950.3%
 
12570.3%
 
882260.2%
 
932230.2%
 
Other values (90)68267.2%
 
ValueCountFrequency (%) 
03541537.1%
 
12570.3%
 
21780.2%
 
31510.2%
 
41210.1%
 
ValueCountFrequency (%) 
995054853.0%
 
985100.5%
 
974530.5%
 
963280.3%
 
953310.3%
 

POP90C2
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.62247935
Minimum0
Maximum99
Zeros76382
Zeros (%)80.1%
Memory size745.4 KiB
2020-12-15T13:43:21.827132image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31.22207779
Coefficient of variation (CV)2.29195266
Kurtosis2.477076689
Mean13.62247935
Median Absolute Deviation (MAD)0
Skewness2.049533627
Sum1299748
Variance974.8181416
MonotocityNot monotonic
2020-12-15T13:43:21.987397image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
07638280.1%
 
9960296.3%
 
16370.7%
 
984040.4%
 
963420.4%
 
973310.3%
 
23240.3%
 
952750.3%
 
32690.3%
 
942440.3%
 
Other values (90)1017510.7%
 
ValueCountFrequency (%) 
07638280.1%
 
16370.7%
 
23240.3%
 
32690.3%
 
42070.2%
 
ValueCountFrequency (%) 
9960296.3%
 
984040.4%
 
973310.3%
 
963420.4%
 
952750.3%
 

POP90C3
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.1405274
Minimum0
Maximum99
Zeros56461
Zeros (%)59.2%
Memory size745.4 KiB
2020-12-15T13:43:22.150345image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q352
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)52

Descriptive statistics

Standard deviation40.03785453
Coefficient of variation (CV)1.531639126
Kurtosis-0.6299992292
Mean26.1405274
Median Absolute Deviation (MAD)0
Skewness1.09332289
Sum2494120
Variance1603.029795
MonotocityNot monotonic
2020-12-15T13:43:22.307192image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
05646159.2%
 
991728418.1%
 
110731.1%
 
29181.0%
 
37920.8%
 
46750.7%
 
55990.6%
 
65340.6%
 
94330.5%
 
74230.4%
 
Other values (90)1622017.0%
 
ValueCountFrequency (%) 
05646159.2%
 
110731.1%
 
29181.0%
 
37920.8%
 
46750.7%
 
ValueCountFrequency (%) 
991728418.1%
 
983470.4%
 
973340.4%
 
962350.2%
 
952010.2%
 

POP90C4
Real number (ℝ≥0)

Distinct81
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.21172389
Minimum0
Maximum99
Zeros806
Zeros (%)0.8%
Memory size745.4 KiB
2020-12-15T13:43:22.466937image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile43
Q147
median49
Q350
95-th percentile52
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.565579332
Coefficient of variation (CV)0.1154403718
Kurtosis48.47936441
Mean48.21172389
Median Absolute Deviation (MAD)1
Skewness-5.094062128
Sum4599977
Variance30.9756733
MonotocityNot monotonic
2020-12-15T13:43:22.622914image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
491808619.0%
 
501728418.1%
 
481426314.9%
 
511006710.6%
 
47982010.3%
 
4659486.2%
 
5242374.4%
 
4540434.2%
 
4423972.5%
 
5316761.8%
 
Other values (71)75918.0%
 
ValueCountFrequency (%) 
08060.8%
 
81< 0.1%
 
142< 0.1%
 
161< 0.1%
 
171< 0.1%
 
ValueCountFrequency (%) 
9912< 0.1%
 
961< 0.1%
 
923< 0.1%
 
916< 0.1%
 
905< 0.1%
 

POP90C5
Real number (ℝ≥0)

Distinct81
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.95138976
Minimum0
Maximum99
Zeros811
Zeros (%)0.8%
Memory size745.4 KiB
2020-12-15T13:43:22.780547image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile47
Q150
median51
Q353
95-th percentile56
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.768361015
Coefficient of variation (CV)0.113213026
Kurtosis51.61108127
Mean50.95138976
Median Absolute Deviation (MAD)1
Skewness-5.943056318
Sum4861374
Variance33.2739888
MonotocityNot monotonic
2020-12-15T13:43:22.940467image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
511808919.0%
 
501728418.1%
 
521423814.9%
 
491006210.5%
 
53984210.3%
 
5459516.2%
 
4842444.4%
 
5540454.2%
 
5623962.5%
 
4716701.8%
 
Other values (71)75918.0%
 
ValueCountFrequency (%) 
08110.8%
 
41< 0.1%
 
83< 0.1%
 
96< 0.1%
 
105< 0.1%
 
ValueCountFrequency (%) 
997< 0.1%
 
921< 0.1%
 
862< 0.1%
 
841< 0.1%
 
831< 0.1%
 

ETH1
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.85450467
Minimum0
Maximum99
Zeros1075
Zeros (%)1.1%
Memory size745.4 KiB
2020-12-15T13:43:23.107910image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile36
Q182
median93
Q398
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)16

Descriptive statistics

Standard deviation21.01387503
Coefficient of variation (CV)0.2476459571
Kurtosis5.636507419
Mean84.85450467
Median Absolute Deviation (MAD)5
Skewness-2.385671007
Sum8096138
Variance441.5829436
MonotocityNot monotonic
2020-12-15T13:43:23.270582image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
991568916.4%
 
9886629.1%
 
9771337.5%
 
9660926.4%
 
9549615.2%
 
9441604.4%
 
9336563.8%
 
9230813.2%
 
9129193.1%
 
9026622.8%
 
Other values (90)3639738.1%
 
ValueCountFrequency (%) 
010751.1%
 
13750.4%
 
22010.2%
 
31340.1%
 
41430.1%
 
ValueCountFrequency (%) 
991568916.4%
 
9886629.1%
 
9771337.5%
 
9660926.4%
 
9549615.2%
 

ETH2
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.467404519
Minimum0
Maximum99
Zeros31240
Zeros (%)32.7%
Memory size745.4 KiB
2020-12-15T13:43:23.437616image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q36
95-th percentile41
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation16.69077101
Coefficient of variation (CV)2.23515024
Kurtosis13.94795171
Mean7.467404519
Median Absolute Deviation (MAD)1
Skewness3.619829008
Sum712480
Variance278.5818368
MonotocityNot monotonic
2020-12-15T13:43:23.601387image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03124032.7%
 
11819319.1%
 
293369.8%
 
357856.1%
 
440684.3%
 
528923.0%
 
622692.4%
 
719402.0%
 
814481.5%
 
913491.4%
 
Other values (90)1689217.7%
 
ValueCountFrequency (%) 
03124032.7%
 
11819319.1%
 
293369.8%
 
357856.1%
 
440684.3%
 
ValueCountFrequency (%) 
994920.5%
 
982240.2%
 
971350.1%
 
96960.1%
 
95640.1%
 

ETH3
Real number (ℝ≥0)

ZEROS

Distinct85
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7769043726
Minimum0
Maximum99
Zeros62275
Zeros (%)65.3%
Memory size745.4 KiB
2020-12-15T13:43:23.759454image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum99
Range99
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.469318635
Coefficient of variation (CV)4.465567137
Kurtosis374.1960467
Mean0.7769043726
Median Absolute Deviation (MAD)0
Skewness16.86488252
Sum74126
Variance12.03617179
MonotocityNot monotonic
2020-12-15T13:43:23.915660image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
06227565.3%
 
12441925.6%
 
243064.5%
 
313511.4%
 
47070.7%
 
54680.5%
 
63120.3%
 
81930.2%
 
71740.2%
 
101330.1%
 
Other values (75)10741.1%
 
ValueCountFrequency (%) 
06227565.3%
 
12441925.6%
 
243064.5%
 
313511.4%
 
47070.7%
 
ValueCountFrequency (%) 
992< 0.1%
 
986< 0.1%
 
973< 0.1%
 
967< 0.1%
 
954< 0.1%
 

ETH4
Real number (ℝ≥0)

ZEROS

Distinct96
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.905703685
Minimum0
Maximum99
Zeros37177
Zeros (%)39.0%
Memory size745.4 KiB
2020-12-15T13:43:24.072443image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile12
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation7.069759335
Coefficient of variation (CV)2.433062728
Kurtosis47.30910593
Mean2.905703685
Median Absolute Deviation (MAD)1
Skewness5.993047474
Sum277239
Variance49.98149706
MonotocityNot monotonic
2020-12-15T13:43:24.230152image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03717739.0%
 
12372224.9%
 
21055511.1%
 
356916.0%
 
437253.9%
 
526712.8%
 
618401.9%
 
714371.5%
 
811091.2%
 
99311.0%
 
Other values (86)65546.9%
 
ValueCountFrequency (%) 
03717739.0%
 
12372224.9%
 
21055511.1%
 
356916.0%
 
437253.9%
 
ValueCountFrequency (%) 
992< 0.1%
 
951< 0.1%
 
931< 0.1%
 
924< 0.1%
 
913< 0.1%
 

ETH5
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.458076552
Minimum0
Maximum99
Zeros15803
Zeros (%)16.6%
Memory size745.4 KiB
2020-12-15T13:43:24.388410image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q37
95-th percentile35
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation13.78606104
Coefficient of variation (CV)1.848474059
Kurtosis14.2548109
Mean7.458076552
Median Absolute Deviation (MAD)2
Skewness3.514685939
Sum711590
Variance190.055479
MonotocityNot monotonic
2020-12-15T13:43:24.551997image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
12260223.7%
 
01580316.6%
 
21188412.5%
 
369997.3%
 
446904.9%
 
540124.2%
 
633303.5%
 
726102.7%
 
822132.3%
 
918992.0%
 
Other values (90)1937020.3%
 
ValueCountFrequency (%) 
01580316.6%
 
12260223.7%
 
21188412.5%
 
369997.3%
 
446904.9%
 
ValueCountFrequency (%) 
9913< 0.1%
 
9834< 0.1%
 
9722< 0.1%
 
9637< 0.1%
 
9540< 0.1%
 

ETH6
Real number (ℝ≥0)

ZEROS

Distinct21
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2160105647
Minimum0
Maximum22
Zeros80799
Zeros (%)84.7%
Memory size745.4 KiB
2020-12-15T13:43:24.937110image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6792750074
Coefficient of variation (CV)3.144637894
Kurtosis134.0602664
Mean0.2160105647
Median Absolute Deviation (MAD)0
Skewness8.000837167
Sum20610
Variance0.4614145357
MonotocityNot monotonic
2020-12-15T13:43:25.048958image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%) 
08079984.7%
 
11141212.0%
 
219522.0%
 
36600.7%
 
42750.3%
 
51370.1%
 
6610.1%
 
736< 0.1%
 
819< 0.1%
 
917< 0.1%
 
Other values (11)44< 0.1%
 
ValueCountFrequency (%) 
08079984.7%
 
11141212.0%
 
219522.0%
 
36600.7%
 
42750.3%
 
ValueCountFrequency (%) 
223< 0.1%
 
204< 0.1%
 
181< 0.1%
 
171< 0.1%
 
161< 0.1%
 

ETH7
Real number (ℝ≥0)

ZEROS

Distinct61
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3973504381
Minimum0
Maximum72
Zeros78849
Zeros (%)82.6%
Memory size745.4 KiB
2020-12-15T13:43:25.182979image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum72
Range72
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.232166319
Coefficient of variation (CV)5.617626421
Kurtosis291.989606
Mean0.3973504381
Median Absolute Deviation (MAD)0
Skewness15.34166388
Sum37912
Variance4.982566478
MonotocityNot monotonic
2020-12-15T13:43:25.331349image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
07884982.6%
 
11151812.1%
 
227352.9%
 
38260.9%
 
44120.4%
 
52300.2%
 
61160.1%
 
7960.1%
 
8600.1%
 
1142< 0.1%
 
Other values (51)5280.6%
 
ValueCountFrequency (%) 
07884982.6%
 
11151812.1%
 
227352.9%
 
38260.9%
 
44120.4%
 
ValueCountFrequency (%) 
721< 0.1%
 
671< 0.1%
 
603< 0.1%
 
595< 0.1%
 
582< 0.1%
 

ETH8
Real number (ℝ≥0)

ZEROS

Distinct60
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6128055171
Minimum0
Maximum99
Zeros74176
Zeros (%)77.7%
Memory size745.4 KiB
2020-12-15T13:43:25.492740image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.533743462
Coefficient of variation (CV)4.134661636
Kurtosis199.6891398
Mean0.6128055171
Median Absolute Deviation (MAD)0
Skewness11.23174369
Sum58469
Variance6.419855931
MonotocityNot monotonic
2020-12-15T13:43:25.646370image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
07417677.7%
 
11311413.7%
 
231783.3%
 
314681.5%
 
47690.8%
 
55600.6%
 
63980.4%
 
72550.3%
 
81740.2%
 
91510.2%
 
Other values (50)11691.2%
 
ValueCountFrequency (%) 
07417677.7%
 
11311413.7%
 
231783.3%
 
314681.5%
 
47690.8%
 
ValueCountFrequency (%) 
991< 0.1%
 
981< 0.1%
 
751< 0.1%
 
724< 0.1%
 
702< 0.1%
 

ETH9
Real number (ℝ≥0)

ZEROS

Distinct61
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.561491217
Minimum0
Maximum67
Zeros75931
Zeros (%)79.6%
Memory size745.4 KiB
2020-12-15T13:43:25.798946image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum67
Range67
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.309204929
Coefficient of variation (CV)4.112628762
Kurtosis173.8375568
Mean0.561491217
Median Absolute Deviation (MAD)0
Skewness10.86233094
Sum53573
Variance5.332427404
MonotocityNot monotonic
2020-12-15T13:43:25.954354image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
07593179.6%
 
11122311.8%
 
233613.5%
 
315891.7%
 
48020.8%
 
55520.6%
 
63800.4%
 
72570.3%
 
81750.2%
 
101480.2%
 
Other values (51)9941.0%
 
ValueCountFrequency (%) 
07593179.6%
 
11122311.8%
 
233613.5%
 
315891.7%
 
48020.8%
 
ValueCountFrequency (%) 
672< 0.1%
 
642< 0.1%
 
612< 0.1%
 
591< 0.1%
 
581< 0.1%
 

ETH10
Real number (ℝ≥0)

ZEROS

Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2505869283
Minimum0
Maximum46
Zeros81878
Zeros (%)85.8%
Memory size745.4 KiB
2020-12-15T13:43:26.102509image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum46
Range46
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.003529617
Coefficient of variation (CV)4.004716541
Kurtosis277.8842018
Mean0.2505869283
Median Absolute Deviation (MAD)0
Skewness12.3670094
Sum23909
Variance1.007071691
MonotocityNot monotonic
2020-12-15T13:43:26.231368image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%) 
08187885.8%
 
194799.9%
 
221102.2%
 
37860.8%
 
43970.4%
 
52420.3%
 
61300.1%
 
71130.1%
 
8690.1%
 
942< 0.1%
 
Other values (23)1660.2%
 
ValueCountFrequency (%) 
08187885.8%
 
194799.9%
 
221102.2%
 
37860.8%
 
43970.4%
 
ValueCountFrequency (%) 
461< 0.1%
 
381< 0.1%
 
362< 0.1%
 
331< 0.1%
 
311< 0.1%
 

ETH11
Real number (ℝ≥0)

ZEROS

Distinct34
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2103089758
Minimum0
Maximum47
Zeros85105
Zeros (%)89.2%
Memory size745.4 KiB
2020-12-15T13:43:26.358917image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum47
Range47
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.05412098
Coefficient of variation (CV)5.012249124
Kurtosis388.3772834
Mean0.2103089758
Median Absolute Deviation (MAD)0
Skewness15.13012604
Sum20066
Variance1.11117104
MonotocityNot monotonic
2020-12-15T13:43:26.489374image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%) 
08510589.2%
 
170257.4%
 
215901.7%
 
35940.6%
 
43660.4%
 
52010.2%
 
61110.1%
 
7920.1%
 
8720.1%
 
9520.1%
 
Other values (24)2040.2%
 
ValueCountFrequency (%) 
08510589.2%
 
170257.4%
 
215901.7%
 
35940.6%
 
43660.4%
 
ValueCountFrequency (%) 
472< 0.1%
 
452< 0.1%
 
392< 0.1%
 
371< 0.1%
 
341< 0.1%
 

ETH12
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct43
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0683876242
Minimum0
Maximum72
Zeros94160
Zeros (%)98.7%
Memory size745.4 KiB
2020-12-15T13:43:26.632725image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum72
Range72
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.169671428
Coefficient of variation (CV)17.10355407
Kurtosis1249.73021
Mean0.0683876242
Median Absolute Deviation (MAD)0
Skewness30.65627538
Sum6525
Variance1.368131251
MonotocityNot monotonic
2020-12-15T13:43:26.780133image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%) 
09416098.7%
 
18110.8%
 
645< 0.1%
 
539< 0.1%
 
935< 0.1%
 
829< 0.1%
 
1129< 0.1%
 
424< 0.1%
 
722< 0.1%
 
219< 0.1%
 
Other values (33)1990.2%
 
ValueCountFrequency (%) 
09416098.7%
 
18110.8%
 
219< 0.1%
 
310< 0.1%
 
424< 0.1%
 
ValueCountFrequency (%) 
721< 0.1%
 
665< 0.1%
 
541< 0.1%
 
522< 0.1%
 
512< 0.1%
 

ETH13
Real number (ℝ≥0)

ZEROS

Distinct98
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.138169203
Minimum0
Maximum97
Zeros34032
Zeros (%)35.7%
Memory size745.4 KiB
2020-12-15T13:43:26.941784image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile25
Maximum97
Range97
Interquartile range (IQR)4

Descriptive statistics

Standard deviation11.3335343
Coefficient of variation (CV)2.205753422
Kurtosis20.38316943
Mean5.138169203
Median Absolute Deviation (MAD)1
Skewness4.129209667
Sum490243
Variance128.4489998
MonotocityNot monotonic
2020-12-15T13:43:27.098816image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03403235.7%
 
12059121.6%
 
283368.7%
 
352305.5%
 
437653.9%
 
528893.0%
 
622292.3%
 
718912.0%
 
815411.6%
 
912671.3%
 
Other values (88)1364114.3%
 
ValueCountFrequency (%) 
03403235.7%
 
12059121.6%
 
283368.7%
 
352305.5%
 
437653.9%
 
ValueCountFrequency (%) 
971< 0.1%
 
961< 0.1%
 
958< 0.1%
 
9413< 0.1%
 
9312< 0.1%
 

ETH14
Real number (ℝ≥0)

ZEROS

Distinct45
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3024776758
Minimum0
Maximum57
Zeros79619
Zeros (%)83.4%
Memory size745.4 KiB
2020-12-15T13:43:27.247373image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum57
Range57
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.292820479
Coefficient of variation (CV)4.274102132
Kurtosis428.6515749
Mean0.3024776758
Median Absolute Deviation (MAD)0
Skewness16.19536069
Sum28860
Variance1.671384791
MonotocityNot monotonic
2020-12-15T13:43:27.383450image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%) 
07961983.4%
 
11153712.1%
 
218982.0%
 
38600.9%
 
45190.5%
 
53300.3%
 
61850.2%
 
7980.1%
 
9660.1%
 
8650.1%
 
Other values (35)2350.2%
 
ValueCountFrequency (%) 
07961983.4%
 
11153712.1%
 
218982.0%
 
38600.9%
 
45190.5%
 
ValueCountFrequency (%) 
571< 0.1%
 
501< 0.1%
 
491< 0.1%
 
481< 0.1%
 
471< 0.1%
 

ETH15
Real number (ℝ≥0)

ZEROS

Distinct78
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3274326081
Minimum0
Maximum81
Zeros87781
Zeros (%)92.0%
Memory size745.4 KiB
2020-12-15T13:43:27.535620image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum81
Range81
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.208649912
Coefficient of variation (CV)9.799420806
Kurtosis321.3204927
Mean0.3274326081
Median Absolute Deviation (MAD)0
Skewness17.00233734
Sum31241
Variance10.29543426
MonotocityNot monotonic
2020-12-15T13:43:27.696189image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
08778192.0%
 
153605.6%
 
28510.9%
 
32570.3%
 
42180.2%
 
51170.1%
 
6970.1%
 
7680.1%
 
8520.1%
 
1335< 0.1%
 
Other values (68)5760.6%
 
ValueCountFrequency (%) 
08778192.0%
 
153605.6%
 
28510.9%
 
32570.3%
 
42180.2%
 
ValueCountFrequency (%) 
811< 0.1%
 
782< 0.1%
 
777< 0.1%
 
764< 0.1%
 
755< 0.1%
 

ETH16
Real number (ℝ≥0)

ZEROS

Distinct66
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.51361464
Minimum0
Maximum86
Zeros42870
Zeros (%)44.9%
Memory size745.4 KiB
2020-12-15T13:43:27.868876image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile6
Maximum86
Range86
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.36528513
Coefficient of variation (CV)2.223343407
Kurtosis87.93999178
Mean1.51361464
Median Absolute Deviation (MAD)1
Skewness7.490445114
Sum144417
Variance11.325144
MonotocityNot monotonic
2020-12-15T13:43:28.021311image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
04287044.9%
 
12613027.4%
 
21100511.5%
 
358036.1%
 
431473.3%
 
516841.8%
 
611231.2%
 
77170.8%
 
84800.5%
 
93540.4%
 
Other values (56)20992.2%
 
ValueCountFrequency (%) 
04287044.9%
 
12613027.4%
 
21100511.5%
 
358036.1%
 
431473.3%
 
ValueCountFrequency (%) 
863< 0.1%
 
731< 0.1%
 
702< 0.1%
 
681< 0.1%
 
631< 0.1%
 

AGE901
Real number (ℝ≥0)

Distinct74
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.47527565
Minimum0
Maximum84
Zeros799
Zeros (%)0.8%
Memory size745.4 KiB
2020-12-15T13:43:28.183109image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26
Q130
median33
Q337
95-th percentile49
Maximum84
Range84
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.335617528
Coefficient of variation (CV)0.2417853773
Kurtosis6.716924035
Mean34.47527565
Median Absolute Deviation (MAD)3
Skewness1.148389022
Sum3289355
Variance69.48251958
MonotocityNot monotonic
2020-12-15T13:43:28.342794image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3381258.5%
 
3279798.4%
 
3176828.1%
 
3472757.6%
 
3067137.0%
 
3566186.9%
 
2955355.8%
 
3652595.5%
 
3745724.8%
 
2842824.5%
 
Other values (64)3137232.9%
 
ValueCountFrequency (%) 
07990.8%
 
84< 0.1%
 
121< 0.1%
 
132< 0.1%
 
146< 0.1%
 
ValueCountFrequency (%) 
841< 0.1%
 
831< 0.1%
 
811< 0.1%
 
8011< 0.1%
 
799< 0.1%
 

AGE902
Real number (ℝ≥0)

Distinct67
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.91132143
Minimum0
Maximum84
Zeros799
Zeros (%)0.8%
Memory size745.4 KiB
2020-12-15T13:43:28.503224image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile32
Q138
median41
Q345
95-th percentile57
Maximum84
Range84
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.249670639
Coefficient of variation (CV)0.1968363287
Kurtosis6.658485816
Mean41.91132143
Median Absolute Deviation (MAD)4
Skewness-0.1010091479
Sum3998843
Variance68.05706565
MonotocityNot monotonic
2020-12-15T13:43:28.655208image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4177108.1%
 
4275998.0%
 
4073547.7%
 
4367397.1%
 
3966427.0%
 
3861576.5%
 
4453595.6%
 
3751655.4%
 
3641084.3%
 
4540884.3%
 
Other values (57)3449136.1%
 
ValueCountFrequency (%) 
07990.8%
 
1935< 0.1%
 
20580.1%
 
21700.1%
 
22690.1%
 
ValueCountFrequency (%) 
841< 0.1%
 
831< 0.1%
 
822< 0.1%
 
814< 0.1%
 
808< 0.1%
 

AGE903
Real number (ℝ≥0)

Distinct59
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.10864461
Minimum0
Maximum84
Zeros799
Zeros (%)0.8%
Memory size745.4 KiB
2020-12-15T13:43:28.824880image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile36
Q141
median44
Q348
95-th percentile59
Maximum84
Range84
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.10910303
Coefficient of variation (CV)0.1797682706
Kurtosis8.176858919
Mean45.10864461
Median Absolute Deviation (MAD)4
Skewness-0.5684390055
Sum4303906
Variance65.75755196
MonotocityNot monotonic
2020-12-15T13:43:29.272414image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4378708.2%
 
4473897.7%
 
4269877.3%
 
4565166.8%
 
4659226.2%
 
4156966.0%
 
4755515.8%
 
4048535.1%
 
4847305.0%
 
3940684.3%
 
Other values (49)3583037.6%
 
ValueCountFrequency (%) 
07990.8%
 
276< 0.1%
 
2822< 0.1%
 
29660.1%
 
30920.1%
 
ValueCountFrequency (%) 
841< 0.1%
 
831< 0.1%
 
824< 0.1%
 
814< 0.1%
 
8012< 0.1%
 

AGE904
Real number (ℝ≥0)

Distinct66
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.91737937
Minimum0
Maximum84
Zeros799
Zeros (%)0.8%
Memory size745.4 KiB
2020-12-15T13:43:29.431241image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q132
median35
Q339
95-th percentile47
Maximum84
Range84
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.26121465
Coefficient of variation (CV)0.2021643778
Kurtosis7.9836396
Mean35.91737937
Median Absolute Deviation (MAD)3
Skewness0.3155837844
Sum3426949
Variance52.7252382
MonotocityNot monotonic
2020-12-15T13:43:29.583031image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3580068.4%
 
3479758.4%
 
3676558.0%
 
3373127.7%
 
3767627.1%
 
3263376.6%
 
3859536.2%
 
3153135.6%
 
3949385.2%
 
3041734.4%
 
Other values (56)3098832.5%
 
ValueCountFrequency (%) 
07990.8%
 
121< 0.1%
 
133< 0.1%
 
172< 0.1%
 
183< 0.1%
 
ValueCountFrequency (%) 
841< 0.1%
 
811< 0.1%
 
781< 0.1%
 
7623< 0.1%
 
75590.1%
 

AGE905
Real number (ℝ≥0)

Distinct62
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.69423133
Minimum0
Maximum84
Zeros799
Zeros (%)0.8%
Memory size745.4 KiB
2020-12-15T13:43:29.742253image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile37
Q142
median45
Q348
95-th percentile54
Maximum84
Range84
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.960006029
Coefficient of variation (CV)0.1557249296
Kurtosis14.17962985
Mean44.69423133
Median Absolute Deviation (MAD)3
Skewness-1.591676375
Sum4264366
Variance48.44168392
MonotocityNot monotonic
2020-12-15T13:43:29.898140image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4486169.0%
 
4584498.9%
 
4380098.4%
 
4678618.2%
 
4270697.4%
 
4766977.0%
 
4857186.0%
 
4156545.9%
 
4048595.1%
 
4945094.7%
 
Other values (52)2797129.3%
 
ValueCountFrequency (%) 
07990.8%
 
191< 0.1%
 
206< 0.1%
 
217< 0.1%
 
2214< 0.1%
 
ValueCountFrequency (%) 
841< 0.1%
 
811< 0.1%
 
781< 0.1%
 
7632< 0.1%
 
75590.1%
 

AGE906
Real number (ℝ≥0)

Distinct55
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.88943739
Minimum0
Maximum84
Zeros799
Zeros (%)0.8%
Memory size745.4 KiB
2020-12-15T13:43:30.063482image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile40
Q145
median48
Q351
95-th percentile57
Maximum84
Range84
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.882697588
Coefficient of variation (CV)0.1437205773
Kurtosis18.75926963
Mean47.88943739
Median Absolute Deviation (MAD)3
Skewness-2.329262569
Sum4569227
Variance47.37152608
MonotocityNot monotonic
2020-12-15T13:43:30.221706image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4886949.1%
 
4786139.0%
 
4982638.7%
 
4678478.2%
 
5075367.9%
 
4565356.8%
 
5163306.6%
 
4452795.5%
 
5251885.4%
 
4343194.5%
 
Other values (45)2680828.1%
 
ValueCountFrequency (%) 
07990.8%
 
272< 0.1%
 
283< 0.1%
 
292< 0.1%
 
308< 0.1%
 
ValueCountFrequency (%) 
841< 0.1%
 
811< 0.1%
 
781< 0.1%
 
771< 0.1%
 
7641< 0.1%
 

AGE907
Real number (ℝ≥0)

ZEROS

Distinct64
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.51509244
Minimum0
Maximum75
Zeros1257
Zeros (%)1.3%
Memory size745.4 KiB
2020-12-15T13:43:30.378404image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q121
median26
Q329
95-th percentile35
Maximum75
Range75
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.515298157
Coefficient of variation (CV)0.3065580183
Kurtosis1.397065467
Mean24.51509244
Median Absolute Deviation (MAD)4
Skewness-0.7778959042
Sum2339034
Variance56.4797064
MonotocityNot monotonic
2020-12-15T13:43:30.531087image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2767637.1%
 
2667587.1%
 
2862786.6%
 
2561356.4%
 
2958416.1%
 
2455345.8%
 
3050465.3%
 
2348505.1%
 
2243294.5%
 
3142224.4%
 
Other values (54)3965641.6%
 
ValueCountFrequency (%) 
012571.3%
 
12250.2%
 
21990.2%
 
32430.3%
 
42800.3%
 
ValueCountFrequency (%) 
751< 0.1%
 
713< 0.1%
 
671< 0.1%
 
632< 0.1%
 
621< 0.1%
 

CHIL1
Real number (ℝ≥0)

ZEROS

Distinct85
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.59274515
Minimum0
Maximum99
Zeros1149
Zeros (%)1.2%
Memory size745.4 KiB
2020-12-15T13:43:30.699146image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile29
Q135
median39
Q344
95-th percentile52
Maximum99
Range99
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.232251621
Coefficient of variation (CV)0.2079232342
Kurtosis7.406035747
Mean39.59274515
Median Absolute Deviation (MAD)4
Skewness-0.6623435019
Sum3777623
Variance67.76996676
MonotocityNot monotonic
2020-12-15T13:43:30.859482image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3868997.2%
 
3964666.8%
 
3763876.7%
 
3660836.4%
 
4058226.1%
 
4152855.5%
 
3551225.4%
 
4247665.0%
 
4344454.7%
 
3441874.4%
 
Other values (75)3995041.9%
 
ValueCountFrequency (%) 
011491.2%
 
21< 0.1%
 
42< 0.1%
 
73< 0.1%
 
82< 0.1%
 
ValueCountFrequency (%) 
99560.1%
 
911< 0.1%
 
901< 0.1%
 
891< 0.1%
 
882< 0.1%
 

CHIL2
Real number (ℝ≥0)

ZEROS

Distinct70
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.35763845
Minimum0
Maximum99
Zeros1189
Zeros (%)1.2%
Memory size745.4 KiB
2020-12-15T13:43:31.024860image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q136
median39
Q342
95-th percentile45
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.380545213
Coefficient of variation (CV)0.166343536
Kurtosis17.56715042
Mean38.35763845
Median Absolute Deviation (MAD)3
Skewness-2.610664407
Sum3659779
Variance40.71135721
MonotocityNot monotonic
2020-12-15T13:43:31.196555image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
401018110.7%
 
39987110.3%
 
41974410.2%
 
3888379.3%
 
4276548.0%
 
3771447.5%
 
3658456.1%
 
4357476.0%
 
3544584.7%
 
4440634.3%
 
Other values (60)2186822.9%
 
ValueCountFrequency (%) 
011891.2%
 
46< 0.1%
 
51< 0.1%
 
67< 0.1%
 
75< 0.1%
 
ValueCountFrequency (%) 
9929< 0.1%
 
805< 0.1%
 
754< 0.1%
 
711< 0.1%
 
691< 0.1%
 

CHIL3
Real number (ℝ≥0)

ZEROS

Distinct82
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.01471513
Minimum0
Maximum99
Zeros1156
Zeros (%)1.2%
Memory size745.4 KiB
2020-12-15T13:43:31.360653image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13
Q118
median21
Q324
95-th percentile29
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.827231145
Coefficient of variation (CV)0.2772928926
Kurtosis34.72742984
Mean21.01471513
Median Absolute Deviation (MAD)3
Skewness2.481876978
Sum2005056
Variance33.95662282
MonotocityNot monotonic
2020-12-15T13:43:31.519953image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
21958110.0%
 
22951510.0%
 
2088879.3%
 
2383988.8%
 
1977898.2%
 
2468237.2%
 
1867357.1%
 
2552065.5%
 
1751945.4%
 
1640194.2%
 
Other values (72)2326524.4%
 
ValueCountFrequency (%) 
011561.2%
 
23< 0.1%
 
37< 0.1%
 
416< 0.1%
 
537< 0.1%
 
ValueCountFrequency (%) 
99820.1%
 
941< 0.1%
 
891< 0.1%
 
881< 0.1%
 
861< 0.1%
 

AGEC1
Real number (ℝ≥0)

ZEROS

Distinct98
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.19687251
Minimum0
Maximum99
Zeros1161
Zeros (%)1.2%
Memory size745.4 KiB
2020-12-15T13:43:31.681852image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q19
median11
Q314
95-th percentile21
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.068227467
Coefficient of variation (CV)0.4975232348
Kurtosis31.12493019
Mean12.19687251
Median Absolute Deviation (MAD)2
Skewness3.762318677
Sum1163728
Variance36.82338459
MonotocityNot monotonic
2020-12-15T13:43:31.844965image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
111045711.0%
 
121005810.5%
 
10999110.5%
 
1390259.5%
 
982478.6%
 
1470757.4%
 
865416.9%
 
1552055.5%
 
745944.8%
 
1637063.9%
 
Other values (88)2051321.5%
 
ValueCountFrequency (%) 
011611.2%
 
12850.3%
 
23650.4%
 
35360.6%
 
48690.9%
 
ValueCountFrequency (%) 
991< 0.1%
 
973< 0.1%
 
961< 0.1%
 
942< 0.1%
 
933< 0.1%
 

AGEC2
Real number (ℝ≥0)

ZEROS

Distinct74
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.18981889
Minimum0
Maximum99
Zeros1007
Zeros (%)1.1%
Memory size745.4 KiB
2020-12-15T13:43:32.007171image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q118
median22
Q326
95-th percentile36
Maximum99
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.787776025
Coefficient of variation (CV)0.3509616758
Kurtosis2.335906264
Mean22.18981889
Median Absolute Deviation (MAD)4
Skewness0.4198349831
Sum2117175
Variance60.64945541
MonotocityNot monotonic
2020-12-15T13:43:32.169276image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2067307.1%
 
2263906.7%
 
2163886.7%
 
1959266.2%
 
2355265.8%
 
1850375.3%
 
2449935.2%
 
2545514.8%
 
1742094.4%
 
2639234.1%
 
Other values (64)4173943.7%
 
ValueCountFrequency (%) 
010071.1%
 
12430.3%
 
21190.1%
 
31050.1%
 
42030.2%
 
ValueCountFrequency (%) 
998< 0.1%
 
881< 0.1%
 
802< 0.1%
 
751< 0.1%
 
702< 0.1%
 

AGEC3
Real number (ℝ≥0)

Distinct57
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.65297866
Minimum0
Maximum99
Zeros911
Zeros (%)1.0%
Memory size745.4 KiB
2020-12-15T13:43:32.327518image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q117
median20
Q324
95-th percentile31
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.211045291
Coefficient of variation (CV)0.3007336323
Kurtosis2.787252016
Mean20.65297866
Median Absolute Deviation (MAD)3
Skewness0.1258963705
Sum1970542
Variance38.5770836
MonotocityNot monotonic
2020-12-15T13:43:32.488525image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1987569.2%
 
2086499.1%
 
2178878.3%
 
1876348.0%
 
2266236.9%
 
1762406.5%
 
2357486.0%
 
1649025.1%
 
2447555.0%
 
2538004.0%
 
Other values (47)3041831.9%
 
ValueCountFrequency (%) 
09111.0%
 
13140.3%
 
21580.2%
 
31200.1%
 
41400.1%
 
ValueCountFrequency (%) 
993< 0.1%
 
633< 0.1%
 
601< 0.1%
 
582< 0.1%
 
531< 0.1%
 

AGEC4
Real number (ℝ≥0)

Distinct43
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.05778099
Minimum0
Maximum99
Zeros874
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:43:32.646246image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q112
median14
Q316
95-th percentile21
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.316342493
Coefficient of variation (CV)0.3070429462
Kurtosis4.792244928
Mean14.05778099
Median Absolute Deviation (MAD)2
Skewness0.250225115
Sum1341281
Variance18.63081252
MonotocityNot monotonic
2020-12-15T13:43:32.794718image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%) 
141084511.4%
 
151034910.8%
 
131029410.8%
 
1286969.1%
 
1686299.0%
 
1174987.9%
 
1763506.7%
 
1054675.7%
 
1844784.7%
 
936753.9%
 
Other values (33)1913120.1%
 
ValueCountFrequency (%) 
08740.9%
 
12420.3%
 
22280.2%
 
32260.2%
 
43090.3%
 
ValueCountFrequency (%) 
992< 0.1%
 
504< 0.1%
 
423< 0.1%
 
411< 0.1%
 
401< 0.1%
 

AGEC5
Real number (ℝ≥0)

ZEROS

Distinct43
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.85778518
Minimum0
Maximum99
Zeros968
Zeros (%)1.0%
Memory size745.4 KiB
2020-12-15T13:43:32.944910image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q19
median12
Q314
95-th percentile19
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.14550886
Coefficient of variation (CV)0.3496022904
Kurtosis5.693407018
Mean11.85778518
Median Absolute Deviation (MAD)2
Skewness0.4897782493
Sum1131375
Variance17.18524371
MonotocityNot monotonic
2020-12-15T13:43:33.090135image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%) 
121140312.0%
 
131070211.2%
 
111005910.5%
 
1085028.9%
 
1485018.9%
 
971117.5%
 
1560946.4%
 
856806.0%
 
1645294.7%
 
741784.4%
 
Other values (33)1865319.5%
 
ValueCountFrequency (%) 
09681.0%
 
11390.1%
 
22300.2%
 
36300.7%
 
411961.3%
 
ValueCountFrequency (%) 
992< 0.1%
 
501< 0.1%
 
402< 0.1%
 
396< 0.1%
 
385< 0.1%
 

AGEC6
Real number (ℝ≥0)

ZEROS

Distinct63
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.54327548
Minimum0
Maximum99
Zeros1061
Zeros (%)1.1%
Memory size745.4 KiB
2020-12-15T13:43:33.244568image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median10
Q313
95-th percentile21
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.00384556
Coefficient of variation (CV)0.5694478506
Kurtosis8.125057071
Mean10.54327548
Median Absolute Deviation (MAD)3
Skewness1.922113258
Sum1005955
Variance36.04616151
MonotocityNot monotonic
2020-12-15T13:43:33.410620image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1083378.7%
 
981758.6%
 
1178628.2%
 
876818.1%
 
770997.4%
 
1269117.2%
 
663746.7%
 
1359726.3%
 
551235.4%
 
1446384.9%
 
Other values (53)2724028.5%
 
ValueCountFrequency (%) 
010611.1%
 
16360.7%
 
217421.8%
 
330843.2%
 
441254.3%
 
ValueCountFrequency (%) 
992< 0.1%
 
612< 0.1%
 
603< 0.1%
 
595< 0.1%
 
581< 0.1%
 

AGEC7
Real number (ℝ≥0)

ZEROS

Distinct77
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.667966294
Minimum0
Maximum99
Zeros1745
Zeros (%)1.8%
Memory size745.4 KiB
2020-12-15T13:43:33.578341image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q310
95-th percentile19
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.723718055
Coefficient of variation (CV)0.8768580609
Kurtosis14.29759768
Mean7.667966294
Median Absolute Deviation (MAD)3
Skewness2.892776079
Sum731616
Variance45.20838449
MonotocityNot monotonic
2020-12-15T13:43:33.742831image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
393009.7%
 
492509.7%
 
587429.2%
 
283348.7%
 
681248.5%
 
774357.8%
 
863406.6%
 
953965.7%
 
153385.6%
 
1045414.8%
 
Other values (67)2261223.7%
 
ValueCountFrequency (%) 
017451.8%
 
153385.6%
 
283348.7%
 
393009.7%
 
492509.7%
 
ValueCountFrequency (%) 
991< 0.1%
 
901< 0.1%
 
781< 0.1%
 
771< 0.1%
 
744< 0.1%
 

CHILC1
Real number (ℝ≥0)

ZEROS

Distinct62
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.17565925
Minimum0
Maximum99
Zeros1268
Zeros (%)1.3%
Memory size745.4 KiB
2020-12-15T13:43:33.905062image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q113
median16
Q319
95-th percentile24
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.120884084
Coefficient of variation (CV)0.3165796217
Kurtosis26.39240754
Mean16.17565925
Median Absolute Deviation (MAD)3
Skewness2.015338305
Sum1543352
Variance26.22345381
MonotocityNot monotonic
2020-12-15T13:43:34.059522image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
151125511.8%
 
141076211.3%
 
16950510.0%
 
1387409.2%
 
1778268.2%
 
1868287.2%
 
1258846.2%
 
1953445.6%
 
2045504.8%
 
1140034.2%
 
Other values (52)2071521.7%
 
ValueCountFrequency (%) 
012681.3%
 
110< 0.1%
 
213< 0.1%
 
322< 0.1%
 
4550.1%
 
ValueCountFrequency (%) 
9931< 0.1%
 
751< 0.1%
 
721< 0.1%
 
692< 0.1%
 
675< 0.1%
 

CHILC2
Real number (ℝ≥0)

ZEROS

Distinct46
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.13942691
Minimum0
Maximum99
Zeros1322
Zeros (%)1.4%
Memory size745.4 KiB
2020-12-15T13:43:34.585348image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q114
median16
Q318
95-th percentile21
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.696609997
Coefficient of variation (CV)0.2290422094
Kurtosis36.88448221
Mean16.13942691
Median Absolute Deviation (MAD)2
Skewness0.687357582
Sum1539895
Variance13.66492547
MonotocityNot monotonic
2020-12-15T13:43:34.737151image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%) 
161498015.7%
 
151346614.1%
 
171303713.7%
 
181011610.6%
 
1493799.8%
 
1974017.8%
 
1361986.5%
 
2048275.1%
 
1233493.5%
 
2131883.3%
 
Other values (36)94719.9%
 
ValueCountFrequency (%) 
013221.4%
 
111< 0.1%
 
221< 0.1%
 
321< 0.1%
 
440< 0.1%
 
ValueCountFrequency (%) 
9911< 0.1%
 
801< 0.1%
 
673< 0.1%
 
603< 0.1%
 
507< 0.1%
 

CHILC3
Real number (ℝ≥0)

ZEROS

Distinct62
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.63464763
Minimum0
Maximum99
Zeros1225
Zeros (%)1.3%
Memory size745.4 KiB
2020-12-15T13:43:34.894823image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25
Q130
median32
Q334
95-th percentile38
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.384071071
Coefficient of variation (CV)0.1701953862
Kurtosis17.71713314
Mean31.63464763
Median Absolute Deviation (MAD)2
Skewness-2.621988272
Sum3018325
Variance28.98822129
MonotocityNot monotonic
2020-12-15T13:43:35.049765image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
331245513.1%
 
321227212.9%
 
341070911.2%
 
311033910.8%
 
3583738.8%
 
3078118.2%
 
2955635.8%
 
3654325.7%
 
2839734.2%
 
3733913.6%
 
Other values (52)1509415.8%
 
ValueCountFrequency (%) 
012251.3%
 
18< 0.1%
 
212< 0.1%
 
36< 0.1%
 
415< 0.1%
 
ValueCountFrequency (%) 
9911< 0.1%
 
801< 0.1%
 
679< 0.1%
 
632< 0.1%
 
603< 0.1%
 

CHILC4
Real number (ℝ≥0)

ZEROS

Distinct56
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.75417138
Minimum0
Maximum99
Zeros1317
Zeros (%)1.4%
Memory size745.4 KiB
2020-12-15T13:43:35.206149image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13
Q118
median20
Q322
95-th percentile26
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.562135825
Coefficient of variation (CV)0.2309454412
Kurtosis18.93595808
Mean19.75417138
Median Absolute Deviation (MAD)2
Skewness-0.1101987841
Sum1884785
Variance20.81308329
MonotocityNot monotonic
2020-12-15T13:43:35.358250image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
211151812.1%
 
201122811.8%
 
221007710.6%
 
191000210.5%
 
1880158.4%
 
2377628.1%
 
1765876.9%
 
2452615.5%
 
1649145.2%
 
2534953.7%
 
Other values (46)1655317.3%
 
ValueCountFrequency (%) 
013171.4%
 
111< 0.1%
 
221< 0.1%
 
318< 0.1%
 
444< 0.1%
 
ValueCountFrequency (%) 
9914< 0.1%
 
751< 0.1%
 
672< 0.1%
 
611< 0.1%
 
602< 0.1%
 

CHILC5
Real number (ℝ≥0)

ZEROS

Distinct97
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.25685448
Minimum0
Maximum99
Zeros1075
Zeros (%)1.1%
Memory size745.4 KiB
2020-12-15T13:43:35.512478image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q113
median15
Q317
95-th percentile22
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.642517957
Coefficient of variation (CV)0.3698349462
Kurtosis65.65528246
Mean15.25685448
Median Absolute Deviation (MAD)2
Skewness5.436748742
Sum1455687
Variance31.8380089
MonotocityNot monotonic
2020-12-15T13:43:35.673445image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
151220712.8%
 
141181312.4%
 
161126411.8%
 
13990510.4%
 
1786689.1%
 
1272877.6%
 
1864386.7%
 
1151955.4%
 
1944774.7%
 
1032053.4%
 
Other values (87)1495315.7%
 
ValueCountFrequency (%) 
010751.1%
 
1780.1%
 
213< 0.1%
 
329< 0.1%
 
4650.1%
 
ValueCountFrequency (%) 
99700.1%
 
981< 0.1%
 
974< 0.1%
 
951< 0.1%
 
934< 0.1%
 

HHAGE1
Real number (ℝ≥0)

Distinct99
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.60328889
Minimum0
Maximum99
Zeros926
Zeros (%)1.0%
Memory size745.4 KiB
2020-12-15T13:43:35.837562image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q116
median23
Q331
95-th percentile46
Maximum99
Range99
Interquartile range (IQR)15

Descriptive statistics

Standard deviation13.09031768
Coefficient of variation (CV)0.5320556017
Kurtosis3.604729569
Mean24.60328889
Median Absolute Deviation (MAD)8
Skewness1.257331067
Sum2347449
Variance171.3564168
MonotocityNot monotonic
2020-12-15T13:43:35.997898image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2133903.6%
 
2333003.5%
 
2432983.5%
 
2232873.4%
 
2632623.4%
 
1932103.4%
 
2531923.3%
 
2031723.3%
 
2731373.3%
 
1830913.2%
 
Other values (89)6307366.1%
 
ValueCountFrequency (%) 
09261.0%
 
11620.2%
 
22300.2%
 
34170.4%
 
47540.8%
 
ValueCountFrequency (%) 
9912< 0.1%
 
982< 0.1%
 
965< 0.1%
 
9533< 0.1%
 
9438< 0.1%
 

HHAGE2
Real number (ℝ≥0)

ZEROS

Distinct85
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.37184002
Minimum0
Maximum99
Zeros2063
Zeros (%)2.2%
Memory size745.4 KiB
2020-12-15T13:43:36.156717image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median8
Q312
95-th percentile22
Maximum99
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.441509677
Coefficient of variation (CV)0.7940286712
Kurtosis10.75081213
Mean9.37184002
Median Absolute Deviation (MAD)4
Skewness2.318378695
Sum894186
Variance55.37606628
MonotocityNot monotonic
2020-12-15T13:43:36.315362image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
567997.1%
 
666817.0%
 
466036.9%
 
764996.8%
 
862186.5%
 
360926.4%
 
957756.1%
 
255895.9%
 
1053725.6%
 
1149045.1%
 
Other values (75)3488036.6%
 
ValueCountFrequency (%) 
020632.2%
 
146404.9%
 
255895.9%
 
360926.4%
 
466036.9%
 
ValueCountFrequency (%) 
996< 0.1%
 
912< 0.1%
 
891< 0.1%
 
861< 0.1%
 
851< 0.1%
 

HHAGE3
Real number (ℝ≥0)

ZEROS

Distinct99
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.30847273
Minimum0
Maximum99
Zeros1031
Zeros (%)1.1%
Memory size745.4 KiB
2020-12-15T13:43:36.475501image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q113
median21
Q329
95-th percentile44
Maximum99
Range99
Interquartile range (IQR)16

Descriptive statistics

Standard deviation12.96390342
Coefficient of variation (CV)0.5811201679
Kurtosis3.901411225
Mean22.30847273
Median Absolute Deviation (MAD)8
Skewness1.340854771
Sum2128496
Variance168.0627918
MonotocityNot monotonic
2020-12-15T13:43:36.638653image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1933493.5%
 
2133053.5%
 
2032643.4%
 
1832563.4%
 
2232513.4%
 
2332343.4%
 
2431773.3%
 
1731483.3%
 
1531043.3%
 
1630893.2%
 
Other values (89)6323566.3%
 
ValueCountFrequency (%) 
010311.1%
 
12720.3%
 
26480.7%
 
310561.1%
 
413431.4%
 
ValueCountFrequency (%) 
9911< 0.1%
 
972< 0.1%
 
962< 0.1%
 
957< 0.1%
 
9424< 0.1%
 

HHN1
Real number (ℝ≥0)

Distinct98
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.82171006
Minimum0
Maximum99
Zeros871
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:43:36.805284image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q115
median21
Q328
95-th percentile45
Maximum99
Range99
Interquartile range (IQR)13

Descriptive statistics

Standard deviation11.76962136
Coefficient of variation (CV)0.5157203963
Kurtosis3.107615153
Mean22.82171006
Median Absolute Deviation (MAD)7
Skewness1.287455838
Sum2177465
Variance138.5239869
MonotocityNot monotonic
2020-12-15T13:43:36.965612image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2139974.2%
 
1739764.2%
 
1939504.1%
 
1839474.1%
 
2239184.1%
 
2038964.1%
 
1537293.9%
 
2436713.8%
 
1636583.8%
 
2335553.7%
 
Other values (88)5711559.9%
 
ValueCountFrequency (%) 
08710.9%
 
142< 0.1%
 
2750.1%
 
31960.2%
 
43930.4%
 
ValueCountFrequency (%) 
9920< 0.1%
 
961< 0.1%
 
954< 0.1%
 
945< 0.1%
 
935< 0.1%
 

HHN2
Real number (ℝ≥0)

Distinct85
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.63044481
Minimum0
Maximum99
Zeros862
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:43:37.127690image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22
Q129
median33
Q337
95-th percentile47
Maximum99
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.232499365
Coefficient of variation (CV)0.2447930562
Kurtosis4.741148124
Mean33.63044481
Median Absolute Deviation (MAD)4
Skewness0.2296878971
Sum3208748
Variance67.7740458
MonotocityNot monotonic
2020-12-15T13:43:37.295435image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3468777.2%
 
3368297.2%
 
3264696.8%
 
3563276.6%
 
3158826.2%
 
3654615.7%
 
3051025.3%
 
3749295.2%
 
2946604.9%
 
3841194.3%
 
Other values (75)3875740.6%
 
ValueCountFrequency (%) 
08620.9%
 
31< 0.1%
 
46< 0.1%
 
59< 0.1%
 
66< 0.1%
 
ValueCountFrequency (%) 
997< 0.1%
 
873< 0.1%
 
8513< 0.1%
 
832< 0.1%
 
827< 0.1%
 

HHN3
Real number (ℝ≥0)

Distinct96
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.697428
Minimum0
Maximum99
Zeros903
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:43:37.455851image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16
Q134
median44
Q352
95-th percentile65
Maximum99
Range99
Interquartile range (IQR)18

Descriptive statistics

Standard deviation14.53849982
Coefficient of variation (CV)0.3405005992
Kurtosis0.4583658452
Mean42.697428
Median Absolute Deviation (MAD)9
Skewness-0.4085859198
Sum4073847
Variance211.367977
MonotocityNot monotonic
2020-12-15T13:43:37.614443image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4530613.2%
 
4630493.2%
 
4729833.1%
 
4329763.1%
 
4429643.1%
 
4228733.0%
 
4928333.0%
 
4127782.9%
 
4027672.9%
 
4827622.9%
 
Other values (86)6636669.6%
 
ValueCountFrequency (%) 
09030.9%
 
11290.1%
 
21810.2%
 
31870.2%
 
41700.2%
 
ValueCountFrequency (%) 
9915< 0.1%
 
941< 0.1%
 
932< 0.1%
 
923< 0.1%
 
912< 0.1%
 

HHN4
Real number (ℝ≥0)

ZEROS

Distinct86
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.61541525
Minimum0
Maximum99
Zeros1365
Zeros (%)1.4%
Memory size745.4 KiB
2020-12-15T13:43:37.773761image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q119
median26
Q332
95-th percentile44
Maximum99
Range99
Interquartile range (IQR)13

Descriptive statistics

Standard deviation11.05921771
Coefficient of variation (CV)0.4317407157
Kurtosis0.6928806362
Mean25.61541525
Median Absolute Deviation (MAD)7
Skewness0.2336940358
Sum2444018
Variance122.3062964
MonotocityNot monotonic
2020-12-15T13:43:37.935148image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2541304.3%
 
2639944.2%
 
2739804.2%
 
2339644.2%
 
2838854.1%
 
2438344.0%
 
2935863.8%
 
2233753.5%
 
3033353.5%
 
2133353.5%
 
Other values (76)5799460.8%
 
ValueCountFrequency (%) 
013651.4%
 
13840.4%
 
24480.5%
 
35090.5%
 
45460.6%
 
ValueCountFrequency (%) 
997< 0.1%
 
931< 0.1%
 
862< 0.1%
 
843< 0.1%
 
821< 0.1%
 

HHN5
Real number (ℝ≥0)

ZEROS

Distinct69
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.47102042
Minimum0
Maximum99
Zeros2069
Zeros (%)2.2%
Memory size745.4 KiB
2020-12-15T13:43:38.097737image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median10
Q313
95-th percentile22
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.38276697
Coefficient of variation (CV)0.6095649437
Kurtosis8.391759519
Mean10.47102042
Median Absolute Deviation (MAD)3
Skewness1.849325103
Sum999061
Variance40.7397142
MonotocityNot monotonic
2020-12-15T13:43:38.259157image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
982218.6%
 
1080298.4%
 
878558.2%
 
1174757.8%
 
768377.2%
 
660456.3%
 
1260236.3%
 
1354485.7%
 
548025.0%
 
1442614.5%
 
Other values (59)3041631.9%
 
ValueCountFrequency (%) 
020692.2%
 
116231.7%
 
222422.3%
 
328953.0%
 
439154.1%
 
ValueCountFrequency (%) 
996< 0.1%
 
691< 0.1%
 
673< 0.1%
 
662< 0.1%
 
651< 0.1%
 

HHN6
Real number (ℝ≥0)

ZEROS

Distinct53
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.896459565
Minimum0
Maximum99
Zeros5095
Zeros (%)5.3%
Memory size745.4 KiB
2020-12-15T13:43:38.422645image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q35
95-th percentile10
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.793017234
Coefficient of variation (CV)0.9734522254
Kurtosis35.51766816
Mean3.896459565
Median Absolute Deviation (MAD)1
Skewness4.011037243
Sum371769
Variance14.38697974
MonotocityNot monotonic
2020-12-15T13:43:38.592394image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
21953620.5%
 
31931120.2%
 
41363614.3%
 
11253813.1%
 
581918.6%
 
050955.3%
 
649585.2%
 
731313.3%
 
819632.1%
 
914141.5%
 
Other values (43)56395.9%
 
ValueCountFrequency (%) 
050955.3%
 
11253813.1%
 
21953620.5%
 
31931120.2%
 
41363614.3%
 
ValueCountFrequency (%) 
994< 0.1%
 
672< 0.1%
 
541< 0.1%
 
531< 0.1%
 
511< 0.1%
 

MARR1
Real number (ℝ≥0)

Distinct95
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.10061627
Minimum0
Maximum99
Zeros827
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:43:38.761674image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34
Q152
median61
Q367
95-th percentile74
Maximum99
Range99
Interquartile range (IQR)15

Descriptive statistics

Standard deviation12.96779606
Coefficient of variation (CV)0.2231954993
Kurtosis3.334536146
Mean58.10061627
Median Absolute Deviation (MAD)7
Skewness-1.442737411
Sum5543496
Variance168.1637346
MonotocityNot monotonic
2020-12-15T13:43:38.924131image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6642544.5%
 
6542084.4%
 
6740414.2%
 
6439844.2%
 
6339544.1%
 
6837593.9%
 
6236023.8%
 
6135223.7%
 
6935053.7%
 
6033253.5%
 
Other values (85)5725860.0%
 
ValueCountFrequency (%) 
08270.9%
 
15< 0.1%
 
26< 0.1%
 
39< 0.1%
 
45< 0.1%
 
ValueCountFrequency (%) 
999< 0.1%
 
952< 0.1%
 
932< 0.1%
 
913< 0.1%
 
9017< 0.1%
 

MARR2
Real number (ℝ≥0)

Distinct51
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.69335094
Minimum0
Maximum99
Zeros846
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:43:39.087234image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q18
median10
Q313
95-th percentile19
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.52343419
Coefficient of variation (CV)0.4230137228
Kurtosis9.72462115
Mean10.69335094
Median Absolute Deviation (MAD)3
Skewness1.179303034
Sum1020274
Variance20.46145687
MonotocityNot monotonic
2020-12-15T13:43:39.246842image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
10986610.3%
 
9969310.2%
 
892169.7%
 
1187629.2%
 
775307.9%
 
1272587.6%
 
1361946.5%
 
658486.1%
 
1448885.1%
 
541384.3%
 
Other values (41)2201923.1%
 
ValueCountFrequency (%) 
08460.9%
 
1660.1%
 
23580.4%
 
311591.2%
 
424672.6%
 
ValueCountFrequency (%) 
995< 0.1%
 
671< 0.1%
 
571< 0.1%
 
561< 0.1%
 
531< 0.1%
 

MARR3
Real number (ℝ≥0)

ZEROS

Distinct60
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.424695007
Minimum0
Maximum73
Zeros1071
Zeros (%)1.1%
Memory size745.4 KiB
2020-12-15T13:43:39.405254image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q39
95-th percentile16
Maximum73
Range73
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.887719547
Coefficient of variation (CV)0.6583057677
Kurtosis10.04235449
Mean7.424695007
Median Absolute Deviation (MAD)2
Skewness2.232316015
Sum708405
Variance23.88980237
MonotocityNot monotonic
2020-12-15T13:43:39.571855image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
51074811.3%
 
61035010.8%
 
41031510.8%
 
7956410.0%
 
385959.0%
 
880338.4%
 
967097.0%
 
1053305.6%
 
252555.5%
 
1143034.5%
 
Other values (50)1621017.0%
 
ValueCountFrequency (%) 
010711.1%
 
116141.7%
 
252555.5%
 
385959.0%
 
41031510.8%
 
ValueCountFrequency (%) 
732< 0.1%
 
671< 0.1%
 
623< 0.1%
 
591< 0.1%
 
562< 0.1%
 

MARR4
Real number (ℝ≥0)

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.94842368
Minimum0
Maximum99
Zeros816
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:43:39.742989image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13
Q118
median21
Q326
95-th percentile39
Maximum99
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.882360286
Coefficient of variation (CV)0.3870575343
Kurtosis7.023629308
Mean22.94842368
Median Absolute Deviation (MAD)4
Skewness1.683927931
Sum2189555
Variance78.89632425
MonotocityNot monotonic
2020-12-15T13:43:39.902824image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1973737.7%
 
1873487.7%
 
2072537.6%
 
2166947.0%
 
1759016.2%
 
2258756.2%
 
2352595.5%
 
1644974.7%
 
2442764.5%
 
2539854.2%
 
Other values (90)3695138.7%
 
ValueCountFrequency (%) 
08160.9%
 
14< 0.1%
 
2790.1%
 
31220.1%
 
41880.2%
 
ValueCountFrequency (%) 
9910< 0.1%
 
983< 0.1%
 
975< 0.1%
 
963< 0.1%
 
955< 0.1%
 

HHP1
Real number (ℝ≥0)

Distinct393
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean185.2717373
Minimum0
Maximum650
Zeros817
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:43:40.061990image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile109
Q1158
median182
Q3211
95-th percentile271
Maximum650
Range650
Interquartile range (IQR)53

Descriptive statistics

Standard deviation50.04120842
Coefficient of variation (CV)0.2700962875
Kurtosis2.54665849
Mean185.2717373
Median Absolute Deviation (MAD)26
Skewness0.1844606057
Sum17677147
Variance2504.12254
MonotocityNot monotonic
2020-12-15T13:43:40.214873image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
17911811.2%
 
17711621.2%
 
18011491.2%
 
17411401.2%
 
17811221.2%
 
18311131.2%
 
18811041.2%
 
18511041.2%
 
18410861.1%
 
18110771.1%
 
Other values (383)8417488.2%
 
ValueCountFrequency (%) 
08170.9%
 
5020< 0.1%
 
524< 0.1%
 
537< 0.1%
 
545< 0.1%
 
ValueCountFrequency (%) 
6504< 0.1%
 
5351< 0.1%
 
5271< 0.1%
 
5252< 0.1%
 
5091< 0.1%
 

HHP2
Real number (ℝ≥0)

Distinct377
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean259.6849977
Minimum0
Maximum700
Zeros817
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:43:40.377297image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile183
Q1235
median262
Q3288
95-th percentile331
Maximum700
Range700
Interquartile range (IQR)53

Descriptive statistics

Standard deviation49.90181949
Coefficient of variation (CV)0.1921628894
Kurtosis5.973350309
Mean259.6849977
Median Absolute Deviation (MAD)26
Skewness-1.0280888
Sum24777065
Variance2490.191588
MonotocityNot monotonic
2020-12-15T13:43:40.530107image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
26710791.1%
 
26010571.1%
 
25910561.1%
 
26410451.1%
 
26310401.1%
 
27010271.1%
 
26210231.1%
 
27310211.1%
 
27510131.1%
 
25710051.1%
 
Other values (367)8504689.1%
 
ValueCountFrequency (%) 
08170.9%
 
10020< 0.1%
 
1055< 0.1%
 
1061< 0.1%
 
1074< 0.1%
 
ValueCountFrequency (%) 
7004< 0.1%
 
5231< 0.1%
 
5221< 0.1%
 
5212< 0.1%
 
5071< 0.1%
 

DW1
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.08353247
Minimum0
Maximum99
Zeros1169
Zeros (%)1.2%
Memory size745.4 KiB
2020-12-15T13:43:41.224093image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16
Q158
median75
Q390
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)32

Descriptive statistics

Standard deviation24.97463938
Coefficient of variation (CV)0.3563553163
Kurtosis0.3864099987
Mean70.08353247
Median Absolute Deviation (MAD)16
Skewness-0.9895935763
Sum6686810
Variance623.732612
MonotocityNot monotonic
2020-12-15T13:43:41.382206image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
99987810.4%
 
9826042.7%
 
7718862.0%
 
9718832.0%
 
7518261.9%
 
7217721.9%
 
7917691.9%
 
7617441.8%
 
8117401.8%
 
7317391.8%
 
Other values (90)6857171.9%
 
ValueCountFrequency (%) 
011691.2%
 
13920.4%
 
22820.3%
 
32390.3%
 
42320.2%
 
ValueCountFrequency (%) 
99987810.4%
 
9826042.7%
 
9718832.0%
 
9617211.8%
 
9514621.5%
 

DW2
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.03659917
Minimum0
Maximum99
Zeros1558
Zeros (%)1.6%
Memory size745.4 KiB
2020-12-15T13:43:41.541015image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q152
median72
Q386
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)34

Descriptive statistics

Standard deviation26.35314692
Coefficient of variation (CV)0.399068808
Kurtosis-0.08647061205
Mean66.03659917
Median Absolute Deviation (MAD)17
Skewness-0.8296816954
Sum6300684
Variance694.4883525
MonotocityNot monotonic
2020-12-15T13:43:41.698620image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
9965786.9%
 
9825312.7%
 
7118301.9%
 
7217721.9%
 
7417651.8%
 
7517421.8%
 
7717331.8%
 
7016981.8%
 
7316981.8%
 
7616801.8%
 
Other values (90)7238575.9%
 
ValueCountFrequency (%) 
015581.6%
 
16810.7%
 
24030.4%
 
34140.4%
 
42810.3%
 
ValueCountFrequency (%) 
9965786.9%
 
9825312.7%
 
9716771.8%
 
9614521.5%
 
9512451.3%
 

DW3
Real number (ℝ≥0)

ZEROS

Distinct70
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.900861527
Minimum0
Maximum99
Zeros35949
Zeros (%)37.7%
Memory size745.4 KiB
2020-12-15T13:43:41.853254image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile12
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.365286162
Coefficient of variation (CV)1.849549216
Kurtosis27.2284638
Mean2.900861527
Median Absolute Deviation (MAD)1
Skewness4.324184837
Sum276777
Variance28.7862956
MonotocityNot monotonic
2020-12-15T13:43:42.007546image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03594937.7%
 
11936920.3%
 
21035410.9%
 
370187.4%
 
446834.9%
 
534513.6%
 
625922.7%
 
721112.2%
 
816131.7%
 
912151.3%
 
Other values (60)70577.4%
 
ValueCountFrequency (%) 
03594937.7%
 
11936920.3%
 
21035410.9%
 
370187.4%
 
446834.9%
 
ValueCountFrequency (%) 
991< 0.1%
 
702< 0.1%
 
681< 0.1%
 
671< 0.1%
 
663< 0.1%
 

DW4
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.4807781
Minimum0
Maximum99
Zeros16326
Zeros (%)17.1%
Memory size745.4 KiB
2020-12-15T13:43:42.165682image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q329
95-th percentile74
Maximum99
Range99
Interquartile range (IQR)28

Descriptive statistics

Standard deviation23.85444163
Coefficient of variation (CV)1.224511747
Kurtosis1.450278477
Mean19.4807781
Median Absolute Deviation (MAD)9
Skewness1.479187799
Sum1858700
Variance569.0343854
MonotocityNot monotonic
2020-12-15T13:43:42.320855image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01632617.1%
 
183318.7%
 
248145.0%
 
337884.0%
 
432233.4%
 
527132.8%
 
625252.6%
 
723242.4%
 
820522.2%
 
919192.0%
 
Other values (90)4739749.7%
 
ValueCountFrequency (%) 
01632617.1%
 
183318.7%
 
248145.0%
 
337884.0%
 
432233.4%
 
ValueCountFrequency (%) 
992690.3%
 
982330.2%
 
972360.2%
 
961720.2%
 
951820.2%
 

DW5
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.55540184
Minimum0
Maximum99
Zeros24860
Zeros (%)26.1%
Memory size745.4 KiB
2020-12-15T13:43:42.478283image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q324
95-th percentile69
Maximum99
Range99
Interquartile range (IQR)24

Descriptive statistics

Standard deviation22.64553471
Coefficient of variation (CV)1.367863791
Kurtosis2.258509936
Mean16.55540184
Median Absolute Deviation (MAD)6
Skewness1.696333558
Sum1579584
Variance512.8202424
MonotocityNot monotonic
2020-12-15T13:43:42.637646image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02486026.1%
 
174017.8%
 
245554.8%
 
336083.8%
 
432553.4%
 
527332.9%
 
624262.5%
 
721462.2%
 
819442.0%
 
917271.8%
 
Other values (90)4075742.7%
 
ValueCountFrequency (%) 
02486026.1%
 
174017.8%
 
245554.8%
 
336083.8%
 
432553.4%
 
ValueCountFrequency (%) 
991800.2%
 
982250.2%
 
971580.2%
 
961850.2%
 
951350.1%
 

DW6
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.10292206
Minimum0
Maximum99
Zeros34134
Zeros (%)35.8%
Memory size745.4 KiB
2020-12-15T13:43:42.796443image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q318
95-th percentile61
Maximum99
Range99
Interquartile range (IQR)18

Descriptive statistics

Standard deviation20.4577546
Coefficient of variation (CV)1.561312392
Kurtosis3.707950302
Mean13.10292206
Median Absolute Deviation (MAD)3
Skewness2.017359753
Sum1250176
Variance418.5197231
MonotocityNot monotonic
2020-12-15T13:43:42.957510image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03413435.8%
 
167667.1%
 
247315.0%
 
337223.9%
 
430223.2%
 
524512.6%
 
620992.2%
 
718992.0%
 
817171.8%
 
916011.7%
 
Other values (90)3327034.9%
 
ValueCountFrequency (%) 
03413435.8%
 
167667.1%
 
247315.0%
 
337223.9%
 
430223.2%
 
ValueCountFrequency (%) 
99720.1%
 
981120.1%
 
971070.1%
 
961160.1%
 
95930.1%
 

DW7
Real number (ℝ≥0)

ZEROS

Distinct97
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.789848237
Minimum0
Maximum99
Zeros66889
Zeros (%)70.1%
Memory size745.4 KiB
2020-12-15T13:43:43.132647image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum99
Range99
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.906878203
Coefficient of variation (CV)3.300211761
Kurtosis80.38356299
Mean1.789848237
Median Absolute Deviation (MAD)0
Skewness7.565179107
Sum170773
Variance34.8912101
MonotocityNot monotonic
2020-12-15T13:43:43.302966image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
06688970.1%
 
183198.7%
 
252815.5%
 
330303.2%
 
420552.2%
 
515231.6%
 
612351.3%
 
79351.0%
 
87760.8%
 
96400.7%
 
Other values (87)47295.0%
 
ValueCountFrequency (%) 
06688970.1%
 
183198.7%
 
252815.5%
 
330303.2%
 
420552.2%
 
ValueCountFrequency (%) 
9923< 0.1%
 
984< 0.1%
 
973< 0.1%
 
961< 0.1%
 
941< 0.1%
 

DW8
Real number (ℝ≥0)

ZEROS

Distinct86
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.160315264
Minimum0
Maximum99
Zeros74846
Zeros (%)78.4%
Memory size745.4 KiB
2020-12-15T13:43:43.469143image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.254838998
Coefficient of variation (CV)3.666968047
Kurtosis116.3926669
Mean1.160315264
Median Absolute Deviation (MAD)0
Skewness8.686908835
Sum110708
Variance18.1036549
MonotocityNot monotonic
2020-12-15T13:43:43.629661image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
07484678.4%
 
158276.1%
 
240844.3%
 
322892.4%
 
414301.5%
 
510861.1%
 
69531.0%
 
77000.7%
 
86230.7%
 
104680.5%
 
Other values (76)31063.3%
 
ValueCountFrequency (%) 
07484678.4%
 
158276.1%
 
240844.3%
 
322892.4%
 
414301.5%
 
ValueCountFrequency (%) 
997< 0.1%
 
981< 0.1%
 
941< 0.1%
 
882< 0.1%
 
861< 0.1%
 

DW9
Real number (ℝ≥0)

ZEROS

Distinct91
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6212006875
Minimum0
Maximum99
Zeros83535
Zeros (%)87.6%
Memory size745.4 KiB
2020-12-15T13:43:43.793688image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.969514473
Coefficient of variation (CV)6.39006774
Kurtosis227.1290977
Mean0.6212006875
Median Absolute Deviation (MAD)0
Skewness13.35787043
Sum59270
Variance15.75704515
MonotocityNot monotonic
2020-12-15T13:43:43.948245image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
08353587.6%
 
156816.0%
 
219492.0%
 
39921.0%
 
45630.6%
 
54250.4%
 
63190.3%
 
72530.3%
 
81560.2%
 
101480.2%
 
Other values (81)13911.5%
 
ValueCountFrequency (%) 
08353587.6%
 
156816.0%
 
219492.0%
 
39921.0%
 
45630.6%
 
ValueCountFrequency (%) 
9911< 0.1%
 
983< 0.1%
 
973< 0.1%
 
941< 0.1%
 
932< 0.1%
 

HV1
Real number (ℝ≥0)

ZEROS

Distinct4434
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1061.838238
Minimum0
Maximum6000
Zeros1117
Zeros (%)1.2%
Memory size745.4 KiB
2020-12-15T13:43:44.101643image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile307
Q1513
median737
Q31213
95-th percentile3038
Maximum6000
Range6000
Interquartile range (IQR)700

Descriptive statistics

Standard deviation941.7658924
Coefficient of variation (CV)0.8869203032
Kurtosis7.289904046
Mean1061.838238
Median Absolute Deviation (MAD)282
Skewness2.490768916
Sum101312110
Variance886922.996
MonotocityNot monotonic
2020-12-15T13:43:44.251873image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
011171.2%
 
6752620.3%
 
5502110.2%
 
8751870.2%
 
4251800.2%
 
6381720.2%
 
7131670.2%
 
4751670.2%
 
5751590.2%
 
6841490.2%
 
Other values (4424)9264197.1%
 
ValueCountFrequency (%) 
011171.2%
 
759< 0.1%
 
892< 0.1%
 
931< 0.1%
 
983< 0.1%
 
ValueCountFrequency (%) 
600014< 0.1%
 
59941< 0.1%
 
59932< 0.1%
 
59912< 0.1%
 
59861< 0.1%
 

HV2
Real number (ℝ≥0)

ZEROS

Distinct4623
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1133.031086
Minimum0
Maximum6000
Zeros1117
Zeros (%)1.2%
Memory size745.4 KiB
2020-12-15T13:43:44.413310image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile342
Q1555
median803
Q31328.25
95-th percentile3177
Maximum6000
Range6000
Interquartile range (IQR)773.25

Descriptive statistics

Standard deviation947.3846175
Coefficient of variation (CV)0.8361505955
Kurtosis5.671685374
Mean1133.031086
Median Absolute Deviation (MAD)312
Skewness2.231345989
Sum108104762
Variance897537.6135
MonotocityNot monotonic
2020-12-15T13:43:44.564320image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
011171.2%
 
6251460.2%
 
5471380.1%
 
6421360.1%
 
5711350.1%
 
5611320.1%
 
7061320.1%
 
5211320.1%
 
6101310.1%
 
5651300.1%
 
Other values (4613)9308397.6%
 
ValueCountFrequency (%) 
011171.2%
 
902< 0.1%
 
1191< 0.1%
 
1201< 0.1%
 
1257< 0.1%
 
ValueCountFrequency (%) 
600014< 0.1%
 
59911< 0.1%
 
59761< 0.1%
 
59741< 0.1%
 
59632< 0.1%
 

HV3
Real number (ℝ≥0)

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.224248522
Minimum0
Maximum13
Zeros904
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:43:44.698030image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median4
Q35
95-th percentile9
Maximum13
Range13
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.307937689
Coefficient of variation (CV)0.5463546183
Kurtosis1.58466767
Mean4.224248522
Median Absolute Deviation (MAD)1
Skewness1.193299881
Sum403044
Variance5.326576376
MonotocityNot monotonic
2020-12-15T13:43:44.821980image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%) 
32136822.4%
 
41794818.8%
 
21787818.7%
 
51246613.1%
 
679398.3%
 
751245.4%
 
131733.3%
 
828603.0%
 
921822.3%
 
1212971.4%
 
Other values (4)31773.3%
 
ValueCountFrequency (%) 
09040.9%
 
131733.3%
 
21787818.7%
 
32136822.4%
 
41794818.8%
 
ValueCountFrequency (%) 
131920.2%
 
1212971.4%
 
119991.0%
 
1010821.1%
 
921822.3%
 

HV4
Real number (ℝ≥0)

ZEROS

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.875885633
Minimum0
Maximum13
Zeros1229
Zeros (%)1.3%
Memory size745.4 KiB
2020-12-15T13:43:44.939480image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q35
95-th percentile8
Maximum13
Range13
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.244389295
Coefficient of variation (CV)0.5790648919
Kurtosis0.6067939312
Mean3.875885633
Median Absolute Deviation (MAD)1
Skewness0.8917309819
Sum369806
Variance5.037283308
MonotocityNot monotonic
2020-12-15T13:43:45.064097image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%) 
21881819.7%
 
31847319.4%
 
41611716.9%
 
51133411.9%
 
1967610.1%
 
673747.7%
 
749605.2%
 
832563.4%
 
919452.0%
 
1013441.4%
 
Other values (4)21152.2%
 
ValueCountFrequency (%) 
012291.3%
 
1967610.1%
 
21881819.7%
 
31847319.4%
 
41611716.9%
 
ValueCountFrequency (%) 
1345< 0.1%
 
121440.2%
 
116970.7%
 
1013441.4%
 
919452.0%
 

HU1
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.69683059
Minimum0
Maximum99
Zeros1073
Zeros (%)1.1%
Memory size745.4 KiB
2020-12-15T13:43:45.210175image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23
Q160
median76
Q385
95-th percentile95
Maximum99
Range99
Interquartile range (IQR)25

Descriptive statistics

Standard deviation21.71707841
Coefficient of variation (CV)0.311593486
Kurtosis1.118717062
Mean69.69683059
Median Absolute Deviation (MAD)11
Skewness-1.22048788
Sum6649914
Variance471.6314945
MonotocityNot monotonic
2020-12-15T13:43:45.366517image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
8426702.8%
 
8226382.8%
 
8525442.7%
 
8125302.7%
 
8324912.6%
 
8624802.6%
 
8024522.6%
 
7924512.6%
 
7823762.5%
 
8723352.4%
 
Other values (90)7044573.8%
 
ValueCountFrequency (%) 
010731.1%
 
12340.2%
 
2940.1%
 
31240.1%
 
41100.1%
 
ValueCountFrequency (%) 
994180.4%
 
988340.9%
 
9711921.2%
 
9613601.4%
 
9513781.4%
 

HU2
Real number (ℝ≥0)

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.44577202
Minimum0
Maximum99
Zeros878
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:43:45.524866image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q114
median24
Q340
95-th percentile74
Maximum99
Range99
Interquartile range (IQR)26

Descriptive statistics

Standard deviation20.90012374
Coefficient of variation (CV)0.709783521
Kurtosis0.9400770578
Mean29.44577202
Median Absolute Deviation (MAD)11
Skewness1.144664425
Sum2809480
Variance436.8151725
MonotocityNot monotonic
2020-12-15T13:43:45.680339image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1626692.8%
 
1826522.8%
 
1525422.7%
 
1925312.7%
 
1424842.6%
 
1724792.6%
 
2024522.6%
 
2124482.6%
 
1323922.5%
 
2223702.5%
 
Other values (90)7039373.8%
 
ValueCountFrequency (%) 
08780.9%
 
13540.4%
 
28340.9%
 
311951.3%
 
413581.4%
 
ValueCountFrequency (%) 
994900.5%
 
98940.1%
 
971250.1%
 
961090.1%
 
951100.1%
 

HU3
Real number (ℝ≥0)

Distinct93
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.96660797
Minimum0
Maximum99
Zeros817
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:43:45.837980image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile69
Q189
median94
Q396
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation12.95520965
Coefficient of variation (CV)0.1440002012
Kurtosis21.88549901
Mean89.96660797
Median Absolute Deviation (MAD)3
Skewness-4.129262277
Sum8583894
Variance167.837457
MonotocityNot monotonic
2020-12-15T13:43:46.008293image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
971002010.5%
 
96972910.2%
 
9586689.1%
 
9884168.8%
 
9474647.8%
 
9364316.7%
 
9252435.5%
 
9952185.5%
 
9146524.9%
 
9037183.9%
 
Other values (83)2585327.1%
 
ValueCountFrequency (%) 
08170.9%
 
24< 0.1%
 
51< 0.1%
 
94< 0.1%
 
102< 0.1%
 
ValueCountFrequency (%) 
9952185.5%
 
9884168.8%
 
971002010.5%
 
96972910.2%
 
9586689.1%
 

HU4
Real number (ℝ≥0)

ZEROS

Distinct94
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.176476753
Minimum0
Maximum99
Zeros1552
Zeros (%)1.6%
Memory size745.4 KiB
2020-12-15T13:43:46.171332image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q311
95-th percentile28
Maximum99
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.960745335
Coefficient of variation (CV)1.085465109
Kurtosis12.57741686
Mean9.176476753
Median Absolute Deviation (MAD)3
Skewness3.061375883
Sum875546
Variance99.21644763
MonotocityNot monotonic
2020-12-15T13:43:46.329928image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
31006410.5%
 
4971810.2%
 
586759.1%
 
283758.8%
 
674617.8%
 
764256.7%
 
852515.5%
 
946544.9%
 
144734.7%
 
1037203.9%
 
Other values (84)2659627.9%
 
ValueCountFrequency (%) 
015521.6%
 
144734.7%
 
283758.8%
 
31006410.5%
 
4971810.2%
 
ValueCountFrequency (%) 
995< 0.1%
 
984< 0.1%
 
951< 0.1%
 
914< 0.1%
 
902< 0.1%
 

HU5
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.73727623
Minimum0
Maximum99
Zeros29653
Zeros (%)31.1%
Memory size745.4 KiB
2020-12-15T13:43:46.491269image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q316
95-th percentile66
Maximum99
Range99
Interquartile range (IQR)16

Descriptive statistics

Standard deviation20.98165286
Coefficient of variation (CV)1.527351747
Kurtosis3.39973863
Mean13.73727623
Median Absolute Deviation (MAD)5
Skewness2.019053916
Sum1310701
Variance440.2297566
MonotocityNot monotonic
2020-12-15T13:43:46.648728image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02965331.1%
 
349755.2%
 
245744.8%
 
444394.7%
 
539354.1%
 
634423.6%
 
129893.1%
 
729883.1%
 
828823.0%
 
921362.2%
 
Other values (90)3339935.0%
 
ValueCountFrequency (%) 
02965331.1%
 
129893.1%
 
245744.8%
 
349755.2%
 
444394.7%
 
ValueCountFrequency (%) 
99710.1%
 
9828< 0.1%
 
9733< 0.1%
 
96530.1%
 
95500.1%
 

HHD1
Real number (ℝ≥0)

ZEROS

Distinct95
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.65452983
Minimum0
Maximum99
Zeros1277
Zeros (%)1.3%
Memory size745.4 KiB
2020-12-15T13:43:46.806117image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q128
median36
Q344
95-th percentile56
Maximum99
Range99
Interquartile range (IQR)16

Descriptive statistics

Standard deviation13.03505979
Coefficient of variation (CV)0.3655933721
Kurtosis0.5514591437
Mean35.65452983
Median Absolute Deviation (MAD)8
Skewness-0.2470271341
Sum3401870
Variance169.9127838
MonotocityNot monotonic
2020-12-15T13:43:46.980960image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3836193.8%
 
3634243.6%
 
3534193.6%
 
3934033.6%
 
3733813.5%
 
4032773.4%
 
4132703.4%
 
3432603.4%
 
3331873.3%
 
4230193.2%
 
Other values (85)6215365.1%
 
ValueCountFrequency (%) 
012771.3%
 
11930.2%
 
21840.2%
 
31950.2%
 
42390.3%
 
ValueCountFrequency (%) 
9910< 0.1%
 
981< 0.1%
 
932< 0.1%
 
922< 0.1%
 
901< 0.1%
 

HHD2
Real number (ℝ≥0)

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.50389888
Minimum0
Maximum99
Zeros842
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:43:47.147894image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile43
Q166
median75
Q381
95-th percentile89
Maximum99
Range99
Interquartile range (IQR)15

Descriptive statistics

Standard deviation15.13675162
Coefficient of variation (CV)0.2116912764
Kurtosis4.622113904
Mean71.50389888
Median Absolute Deviation (MAD)7
Skewness-1.745858055
Sum6822330
Variance229.1212496
MonotocityNot monotonic
2020-12-15T13:43:47.306758image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
7738144.0%
 
7836103.8%
 
7636053.8%
 
7935983.8%
 
7535333.7%
 
8035013.7%
 
7434683.6%
 
8133933.6%
 
7333113.5%
 
8233043.5%
 
Other values (90)6027563.2%
 
ValueCountFrequency (%) 
08420.9%
 
11< 0.1%
 
23< 0.1%
 
31< 0.1%
 
47< 0.1%
 
ValueCountFrequency (%) 
99680.1%
 
9831< 0.1%
 
97750.1%
 
961370.1%
 
952150.2%
 

HHD3
Real number (ℝ≥0)

Distinct99
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.75505178
Minimum0
Maximum99
Zeros856
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:43:47.467847image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q150
median61
Q370
95-th percentile81
Maximum99
Range99
Interquartile range (IQR)20

Descriptive statistics

Standard deviation16.23937531
Coefficient of variation (CV)0.2763911327
Kurtosis1.031143241
Mean58.75505178
Median Absolute Deviation (MAD)10
Skewness-0.8724344538
Sum5605937
Variance263.7173105
MonotocityNot monotonic
2020-12-15T13:43:47.623945image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6628683.0%
 
6728323.0%
 
6528243.0%
 
6428203.0%
 
6327792.9%
 
6827442.9%
 
6927432.9%
 
6225572.7%
 
6125352.7%
 
6024362.6%
 
Other values (89)6827471.6%
 
ValueCountFrequency (%) 
08560.9%
 
13< 0.1%
 
25< 0.1%
 
35< 0.1%
 
421< 0.1%
 
ValueCountFrequency (%) 
9918< 0.1%
 
973< 0.1%
 
966< 0.1%
 
9526< 0.1%
 
9427< 0.1%
 

HHD4
Real number (ℝ≥0)

ZEROS

Distinct90
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.78055171
Minimum0
Maximum99
Zeros1376
Zeros (%)1.4%
Memory size745.4 KiB
2020-12-15T13:43:47.781979image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q120
median28
Q335
95-th percentile48
Maximum99
Range99
Interquartile range (IQR)15

Descriptive statistics

Standard deviation11.94146213
Coefficient of variation (CV)0.4298497113
Kurtosis0.4755894648
Mean27.78055171
Median Absolute Deviation (MAD)7
Skewness0.1726446531
Sum2650598
Variance142.5985179
MonotocityNot monotonic
2020-12-15T13:43:47.941565image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2836533.8%
 
2736093.8%
 
2934783.6%
 
2534243.6%
 
2634133.6%
 
3133603.5%
 
3033343.5%
 
2431853.3%
 
3231073.3%
 
3331073.3%
 
Other values (80)6174264.7%
 
ValueCountFrequency (%) 
013761.4%
 
13290.3%
 
23440.4%
 
34220.4%
 
44580.5%
 
ValueCountFrequency (%) 
997< 0.1%
 
931< 0.1%
 
894< 0.1%
 
871< 0.1%
 
861< 0.1%
 

HHD5
Real number (ℝ≥0)

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.92594223
Minimum0
Maximum99
Zeros844
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:43:48.103080image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile56
Q179
median86
Q390
95-th percentile94
Maximum99
Range99
Interquartile range (IQR)11

Descriptive statistics

Standard deviation14.10655978
Coefficient of variation (CV)0.1721867262
Kurtosis11.65185383
Mean81.92594223
Median Absolute Deviation (MAD)5
Skewness-2.920197107
Sum7816718
Variance198.995029
MonotocityNot monotonic
2020-12-15T13:43:48.262397image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
8958096.1%
 
9057326.0%
 
8856275.9%
 
9155355.8%
 
8752505.5%
 
8650915.3%
 
9249605.2%
 
8545294.7%
 
8442284.4%
 
9340174.2%
 
Other values (90)4463446.8%
 
ValueCountFrequency (%) 
08440.9%
 
15< 0.1%
 
26< 0.1%
 
38< 0.1%
 
49< 0.1%
 
ValueCountFrequency (%) 
99650.1%
 
982960.3%
 
977610.8%
 
9612071.3%
 
9521482.3%
 

HHD6
Real number (ℝ≥0)

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.23600805
Minimum0
Maximum99
Zeros814
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:43:48.421812image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q110
median14
Q321
95-th percentile41
Maximum99
Range99
Interquartile range (IQR)11

Descriptive statistics

Standard deviation12.03120738
Coefficient of variation (CV)0.6980274866
Kurtosis7.273613725
Mean17.23600805
Median Absolute Deviation (MAD)5
Skewness2.238289437
Sum1644522
Variance144.749951
MonotocityNot monotonic
2020-12-15T13:43:48.579493image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1158096.1%
 
1057326.0%
 
1256275.9%
 
955355.8%
 
1352505.5%
 
1450915.3%
 
849605.2%
 
1545294.7%
 
1642284.4%
 
740174.2%
 
Other values (90)4463446.8%
 
ValueCountFrequency (%) 
08140.9%
 
1500.1%
 
22960.3%
 
37610.8%
 
412071.3%
 
ValueCountFrequency (%) 
99500.1%
 
986< 0.1%
 
978< 0.1%
 
969< 0.1%
 
957< 0.1%
 

HHD7
Real number (ℝ≥0)

ZEROS

Distinct66
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.873915231
Minimum0
Maximum99
Zeros1694
Zeros (%)1.8%
Memory size745.4 KiB
2020-12-15T13:43:48.742098image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median7
Q310
95-th percentile18
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.297412952
Coefficient of variation (CV)0.6727800334
Kurtosis11.83350182
Mean7.873915231
Median Absolute Deviation (MAD)2
Skewness2.367821972
Sum751266
Variance28.06258398
MonotocityNot monotonic
2020-12-15T13:43:49.554675image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
51098111.5%
 
61095711.5%
 
71040110.9%
 
493959.8%
 
886519.1%
 
968217.1%
 
367477.1%
 
1052655.5%
 
1139034.1%
 
234933.7%
 
Other values (56)1879819.7%
 
ValueCountFrequency (%) 
016941.8%
 
114431.5%
 
234933.7%
 
367477.1%
 
493959.8%
 
ValueCountFrequency (%) 
993< 0.1%
 
841< 0.1%
 
671< 0.1%
 
662< 0.1%
 
631< 0.1%
 

HHD8
Real number (ℝ≥0)

ZEROS

Distinct17
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.623758018
Minimum0
Maximum50
Zeros10080
Zeros (%)10.6%
Memory size745.4 KiB
2020-12-15T13:43:49.696590image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile4
Maximum50
Range50
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.123896014
Coefficient of variation (CV)0.6921573301
Kurtosis83.04203517
Mean1.623758018
Median Absolute Deviation (MAD)1
Skewness3.196177942
Sum154926
Variance1.263142251
MonotocityNot monotonic
2020-12-15T13:43:49.820805image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%) 
13893440.8%
 
23116532.7%
 
31037210.9%
 
01008010.6%
 
430803.2%
 
510961.1%
 
64010.4%
 
71560.2%
 
8680.1%
 
929< 0.1%
 
Other values (7)31< 0.1%
 
ValueCountFrequency (%) 
01008010.6%
 
13893440.8%
 
23116532.7%
 
31037210.9%
 
430803.2%
 
ValueCountFrequency (%) 
502< 0.1%
 
331< 0.1%
 
182< 0.1%
 
171< 0.1%
 
122< 0.1%
 

HHD9
Real number (ℝ≥0)

ZEROS

Distinct64
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.247861904
Minimum0
Maximum99
Zeros1995
Zeros (%)2.1%
Memory size745.4 KiB
2020-12-15T13:43:49.969742image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q38
95-th percentile15
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.683115739
Coefficient of variation (CV)0.7495549375
Kurtosis17.41917488
Mean6.247861904
Median Absolute Deviation (MAD)2
Skewness2.851375075
Sum596121
Variance21.93157302
MonotocityNot monotonic
2020-12-15T13:43:50.135408image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
41391814.6%
 
51294013.6%
 
31169412.3%
 
61081211.3%
 
783358.7%
 
278668.2%
 
859286.2%
 
942914.5%
 
1032313.4%
 
130193.2%
 
Other values (54)1337814.0%
 
ValueCountFrequency (%) 
019952.1%
 
130193.2%
 
278668.2%
 
31169412.3%
 
41391814.6%
 
ValueCountFrequency (%) 
993< 0.1%
 
831< 0.1%
 
641< 0.1%
 
622< 0.1%
 
601< 0.1%
 

HHD10
Real number (ℝ≥0)

Distinct83
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.60959837
Minimum0
Maximum99
Zeros867
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:43:50.292395image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q19
median12
Q316
95-th percentile27
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.103567373
Coefficient of variation (CV)0.5219527555
Kurtosis9.05425612
Mean13.60959837
Median Absolute Deviation (MAD)3
Skewness2.05971262
Sum1298519
Variance50.46066942
MonotocityNot monotonic
2020-12-15T13:43:50.451951image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1191559.6%
 
1284658.9%
 
1084578.9%
 
1375247.9%
 
970207.4%
 
1459066.2%
 
857696.0%
 
1547505.0%
 
742604.5%
 
1638414.0%
 
Other values (73)3026531.7%
 
ValueCountFrequency (%) 
08670.9%
 
1520.1%
 
21880.2%
 
35180.5%
 
411181.2%
 
ValueCountFrequency (%) 
9911< 0.1%
 
932< 0.1%
 
881< 0.1%
 
861< 0.1%
 
831< 0.1%
 

HHD11
Real number (ℝ≥0)

Distinct82
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.91096508
Minimum0
Maximum99
Zeros952
Zeros (%)1.0%
Memory size745.4 KiB
2020-12-15T13:43:50.623686image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q112
median18
Q324
95-th percentile36
Maximum99
Range99
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.355947322
Coefficient of variation (CV)0.49473664
Kurtosis2.284462512
Mean18.91096508
Median Absolute Deviation (MAD)6
Skewness1.013218236
Sum1804333
Variance87.53375028
MonotocityNot monotonic
2020-12-15T13:43:50.777687image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1546934.9%
 
1446844.9%
 
1645994.8%
 
1345664.8%
 
1744904.7%
 
1242524.5%
 
1841254.3%
 
1940774.3%
 
2040334.2%
 
1139564.1%
 
Other values (72)5193754.4%
 
ValueCountFrequency (%) 
09521.0%
 
1790.1%
 
21800.2%
 
33490.4%
 
46640.7%
 
ValueCountFrequency (%) 
9911< 0.1%
 
852< 0.1%
 
841< 0.1%
 
801< 0.1%
 
782< 0.1%
 

HHD12
Real number (ℝ≥0)

ZEROS

Distinct66
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.822454199
Minimum0
Maximum99
Zeros1776
Zeros (%)1.9%
Memory size745.4 KiB
2020-12-15T13:43:50.932568image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q36
95-th percentile12
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.122604024
Coefficient of variation (CV)0.8548767607
Kurtosis30.4758825
Mean4.822454199
Median Absolute Deviation (MAD)2
Skewness3.614294229
Sum460120
Variance16.99586394
MonotocityNot monotonic
2020-12-15T13:43:51.098282image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
21731118.1%
 
31669317.5%
 
41354114.2%
 
5983510.3%
 
182508.6%
 
672327.6%
 
750345.3%
 
838304.0%
 
927202.9%
 
1021762.3%
 
Other values (56)87909.2%
 
ValueCountFrequency (%) 
017761.9%
 
182508.6%
 
21731118.1%
 
31669317.5%
 
41354114.2%
 
ValueCountFrequency (%) 
992< 0.1%
 
971< 0.1%
 
741< 0.1%
 
674< 0.1%
 
652< 0.1%
 

ETHC1
Real number (ℝ≥0)

ZEROS

Distinct52
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.7533958
Minimum0
Maximum75
Zeros2544
Zeros (%)2.7%
Memory size745.4 KiB
2020-12-15T13:43:51.261532image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q113
median18
Q322
95-th percentile26
Maximum75
Range75
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.862205198
Coefficient of variation (CV)0.4096008523
Kurtosis0.2191275231
Mean16.7533958
Median Absolute Deviation (MAD)4
Skewness-0.4652962178
Sum1598475
Variance47.08986018
MonotocityNot monotonic
2020-12-15T13:43:51.414058image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1962546.6%
 
2061046.4%
 
2160806.4%
 
1858706.2%
 
2257836.1%
 
1755395.8%
 
1652265.5%
 
2348845.1%
 
1548845.1%
 
1443264.5%
 
Other values (42)4046242.4%
 
ValueCountFrequency (%) 
025442.7%
 
19781.0%
 
28610.9%
 
39451.0%
 
410511.1%
 
ValueCountFrequency (%) 
751< 0.1%
 
713< 0.1%
 
522< 0.1%
 
482< 0.1%
 
471< 0.1%
 

ETHC2
Real number (ℝ≥0)

ZEROS

Distinct95
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.78609609
Minimum0
Maximum99
Zeros1306
Zeros (%)1.4%
Memory size745.4 KiB
2020-12-15T13:43:51.579436image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18
Q146
median55
Q360
95-th percentile66
Maximum99
Range99
Interquartile range (IQR)14

Descriptive statistics

Standard deviation14.52390246
Coefficient of variation (CV)0.2859818647
Kurtosis2.812382895
Mean50.78609609
Median Absolute Deviation (MAD)6
Skewness-1.599036572
Sum4845603
Variance210.9437427
MonotocityNot monotonic
2020-12-15T13:43:51.733646image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
5944484.7%
 
6043874.6%
 
5843434.6%
 
5641724.4%
 
5541654.4%
 
6141464.3%
 
5741414.3%
 
6238654.1%
 
5438344.0%
 
5336183.8%
 
Other values (85)5429356.9%
 
ValueCountFrequency (%) 
013061.4%
 
14200.4%
 
22500.3%
 
31800.2%
 
42370.2%
 
ValueCountFrequency (%) 
9910< 0.1%
 
932< 0.1%
 
921< 0.1%
 
913< 0.1%
 
907< 0.1%
 

ETHC3
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.35817298
Minimum0
Maximum99
Zeros1781
Zeros (%)1.9%
Memory size745.4 KiB
2020-12-15T13:43:51.890704image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median15
Q322
95-th percentile38
Maximum99
Range99
Interquartile range (IQR)12

Descriptive statistics

Standard deviation12.29928233
Coefficient of variation (CV)0.7085585764
Kurtosis8.396142437
Mean17.35817298
Median Absolute Deviation (MAD)6
Skewness2.189369496
Sum1656178
Variance151.2723459
MonotocityNot monotonic
2020-12-15T13:43:52.045131image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1243834.6%
 
1343364.5%
 
1543084.5%
 
1442254.4%
 
1641454.3%
 
1140204.2%
 
1038554.0%
 
1737353.9%
 
1837313.9%
 
935383.7%
 
Other values (90)5513657.8%
 
ValueCountFrequency (%) 
017811.9%
 
19361.0%
 
213051.4%
 
318261.9%
 
421392.2%
 
ValueCountFrequency (%) 
994< 0.1%
 
981< 0.1%
 
975< 0.1%
 
9625< 0.1%
 
95580.1%
 

ETHC4
Real number (ℝ≥0)

ZEROS

Distinct45
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.963652371
Minimum0
Maximum55
Zeros54820
Zeros (%)57.5%
Memory size745.4 KiB
2020-12-15T13:43:52.197599image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile11
Maximum55
Range55
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.547730152
Coefficient of variation (CV)2.31595481
Kurtosis15.04616521
Mean1.963652371
Median Absolute Deviation (MAD)0
Skewness3.646540916
Sum187356
Variance20.68184954
MonotocityNot monotonic
2020-12-15T13:43:52.341346image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%) 
05482057.5%
 
11736918.2%
 
260676.4%
 
333853.5%
 
423462.5%
 
516611.7%
 
612551.3%
 
710831.1%
 
88970.9%
 
96610.7%
 
Other values (35)58686.2%
 
ValueCountFrequency (%) 
05482057.5%
 
11736918.2%
 
260676.4%
 
333853.5%
 
423462.5%
 
ValueCountFrequency (%) 
551< 0.1%
 
433< 0.1%
 
421< 0.1%
 
412< 0.1%
 
402< 0.1%
 

ETHC5
Real number (ℝ≥0)

ZEROS

Distinct78
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.572538046
Minimum0
Maximum99
Zeros38227
Zeros (%)40.1%
Memory size745.4 KiB
2020-12-15T13:43:52.503412image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile25
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation10.07309076
Coefficient of variation (CV)2.202953953
Kurtosis14.34417986
Mean4.572538046
Median Absolute Deviation (MAD)1
Skewness3.623254859
Sum436275
Variance101.4671575
MonotocityNot monotonic
2020-12-15T13:43:52.660737image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03822740.1%
 
11913820.1%
 
287309.1%
 
351875.4%
 
435173.7%
 
525512.7%
 
619972.1%
 
714931.6%
 
813001.4%
 
911291.2%
 
Other values (68)1214312.7%
 
ValueCountFrequency (%) 
03822740.1%
 
11913820.1%
 
287309.1%
 
351875.4%
 
435173.7%
 
ValueCountFrequency (%) 
992< 0.1%
 
961< 0.1%
 
861< 0.1%
 
833< 0.1%
 
811< 0.1%
 

ETHC6
Real number (ℝ≥0)

ZEROS

Distinct53
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8361526852
Minimum0
Maximum99
Zeros75085
Zeros (%)78.7%
Memory size745.4 KiB
2020-12-15T13:43:52.819513image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.91961093
Coefficient of variation (CV)3.491719852
Kurtosis73.53431549
Mean0.8361526852
Median Absolute Deviation (MAD)0
Skewness6.838447872
Sum79779
Variance8.524127982
MonotocityNot monotonic
2020-12-15T13:43:52.997473image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
07508578.7%
 
190899.5%
 
231263.3%
 
318381.9%
 
412491.3%
 
58950.9%
 
67400.8%
 
75630.6%
 
84170.4%
 
93650.4%
 
Other values (43)20452.1%
 
ValueCountFrequency (%) 
07508578.7%
 
190899.5%
 
231263.3%
 
318381.9%
 
412491.3%
 
ValueCountFrequency (%) 
991< 0.1%
 
811< 0.1%
 
741< 0.1%
 
571< 0.1%
 
541< 0.1%
 

HVP1
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.58759904
Minimum0
Maximum99
Zeros40051
Zeros (%)42.0%
Memory size745.4 KiB
2020-12-15T13:43:53.164860image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q39
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)9

Descriptive statistics

Standard deviation26.62305675
Coefficient of variation (CV)1.959364319
Kurtosis3.200485043
Mean13.58759904
Median Absolute Deviation (MAD)1
Skewness2.12963087
Sum1296420
Variance708.7871508
MonotocityNot monotonic
2020-12-15T13:43:53.320118image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
04005142.0%
 
11376914.4%
 
256806.0%
 
333913.6%
 
423712.5%
 
517671.9%
 
614011.5%
 
712971.4%
 
811021.2%
 
99030.9%
 
Other values (90)2368024.8%
 
ValueCountFrequency (%) 
04005142.0%
 
11376914.4%
 
256806.0%
 
333913.6%
 
423712.5%
 
ValueCountFrequency (%) 
996610.7%
 
985290.6%
 
975250.6%
 
964980.5%
 
954420.5%
 

HVP2
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.04944871
Minimum0
Maximum99
Zeros24097
Zeros (%)25.3%
Memory size745.4 KiB
2020-12-15T13:43:53.478492image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q328
95-th percentile96
Maximum99
Range99
Interquartile range (IQR)28

Descriptive statistics

Standard deviation31.89762263
Coefficient of variation (CV)1.515366178
Kurtosis0.590509656
Mean21.04944871
Median Absolute Deviation (MAD)3
Skewness1.457663222
Sum2008370
Variance1017.45833
MonotocityNot monotonic
2020-12-15T13:43:53.643164image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02409725.3%
 
11301113.6%
 
267737.1%
 
342164.4%
 
430753.2%
 
524402.6%
 
621652.3%
 
9917961.9%
 
716841.8%
 
813341.4%
 
Other values (90)3482136.5%
 
ValueCountFrequency (%) 
02409725.3%
 
11301113.6%
 
267737.1%
 
342164.4%
 
430753.2%
 
ValueCountFrequency (%) 
9917961.9%
 
9812761.3%
 
9711251.2%
 
968010.8%
 
957130.7%
 

HVP3
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.10522785
Minimum0
Maximum99
Zeros8692
Zeros (%)9.1%
Memory size745.4 KiB
2020-12-15T13:43:53.809615image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median17
Q370
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)67

Descriptive statistics

Standard deviation36.64471532
Coefficient of variation (CV)1.04385351
Kurtosis-1.138364605
Mean35.10522785
Median Absolute Deviation (MAD)16
Skewness0.6941156086
Sum3349460
Variance1342.835161
MonotocityNot monotonic
2020-12-15T13:43:53.976505image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
086929.1%
 
165206.8%
 
9961646.5%
 
249375.2%
 
339764.2%
 
431923.3%
 
529213.1%
 
9824542.6%
 
624132.5%
 
722342.3%
 
Other values (90)5190954.4%
 
ValueCountFrequency (%) 
086929.1%
 
165206.8%
 
249375.2%
 
339764.2%
 
431923.3%
 
ValueCountFrequency (%) 
9961646.5%
 
9824542.6%
 
9718121.9%
 
9613391.4%
 
9510631.1%
 

HVP4
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.17438058
Minimum0
Maximum99
Zeros2955
Zeros (%)3.1%
Memory size745.4 KiB
2020-12-15T13:43:54.138566image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q115
median48
Q392
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)77

Descriptive statistics

Standard deviation36.74506006
Coefficient of variation (CV)0.7180362448
Kurtosis-1.600059006
Mean51.17438058
Median Absolute Deviation (MAD)38
Skewness0.04797848563
Sum4882650
Variance1350.199439
MonotocityNot monotonic
2020-12-15T13:43:54.300432image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
991214812.7%
 
9837924.0%
 
029553.1%
 
9723262.4%
 
118111.9%
 
217401.8%
 
9616921.8%
 
416781.8%
 
316621.7%
 
515961.7%
 
Other values (90)6401267.1%
 
ValueCountFrequency (%) 
029553.1%
 
118111.9%
 
217401.8%
 
316621.7%
 
416781.8%
 
ValueCountFrequency (%) 
991214812.7%
 
9837924.0%
 
9723262.4%
 
9616921.8%
 
9513391.4%
 

HVP5
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.90679369
Minimum0
Maximum99
Zeros1295
Zeros (%)1.4%
Memory size745.4 KiB
2020-12-15T13:43:54.463012image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14
Q152
median89
Q399
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)47

Descriptive statistics

Standard deviation29.59615408
Coefficient of variation (CV)0.4004524158
Kurtosis-0.4290680364
Mean73.90679369
Median Absolute Deviation (MAD)10
Skewness-0.9476022951
Sum7051595
Variance875.9323361
MonotocityNot monotonic
2020-12-15T13:43:54.621182image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
992665927.9%
 
9856505.9%
 
9733213.5%
 
9626792.8%
 
9521062.2%
 
9417061.8%
 
9314421.5%
 
9213501.4%
 
012951.4%
 
9112411.3%
 
Other values (90)4796350.3%
 
ValueCountFrequency (%) 
012951.4%
 
11060.1%
 
21670.2%
 
31910.2%
 
42300.2%
 
ValueCountFrequency (%) 
992665927.9%
 
9856505.9%
 
9733213.5%
 
9626792.8%
 
9521062.2%
 

HVP6
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.446348468
Minimum0
Maximum99
Zeros61118
Zeros (%)64.1%
Memory size745.4 KiB
2020-12-15T13:43:54.780012image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile51
Maximum99
Range99
Interquartile range (IQR)2

Descriptive statistics

Standard deviation18.06489542
Coefficient of variation (CV)2.80234547
Kurtosis11.71623801
Mean6.446348468
Median Absolute Deviation (MAD)0
Skewness3.478576091
Sum615059
Variance326.3404467
MonotocityNot monotonic
2020-12-15T13:43:54.940141image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
06111864.1%
 
11016810.7%
 
236533.8%
 
322302.3%
 
415651.6%
 
512201.3%
 
69141.0%
 
77320.8%
 
86110.6%
 
95490.6%
 
Other values (90)1265213.3%
 
ValueCountFrequency (%) 
06111864.1%
 
11016810.7%
 
236533.8%
 
322302.3%
 
415651.6%
 
ValueCountFrequency (%) 
991620.2%
 
981250.1%
 
971330.1%
 
961160.1%
 
951180.1%
 

HUR1
Real number (ℝ≥0)

ZEROS

Distinct96
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.854284576
Minimum0
Maximum99
Zeros17095
Zeros (%)17.9%
Memory size745.4 KiB
2020-12-15T13:43:55.101999image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q36
95-th percentile18
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.545468633
Coefficient of variation (CV)1.55439355
Kurtosis25.55590795
Mean4.854284576
Median Absolute Deviation (MAD)2
Skewness4.079610241
Sum463157
Variance56.93409689
MonotocityNot monotonic
2020-12-15T13:43:55.262225image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
11848719.4%
 
01709517.9%
 
21392414.6%
 
3969110.2%
 
467327.1%
 
551445.4%
 
638134.0%
 
729243.1%
 
824522.6%
 
919002.0%
 
Other values (86)1325013.9%
 
ValueCountFrequency (%) 
01709517.9%
 
11848719.4%
 
21392414.6%
 
3969110.2%
 
467327.1%
 
ValueCountFrequency (%) 
9915< 0.1%
 
971< 0.1%
 
961< 0.1%
 
953< 0.1%
 
931< 0.1%
 

HUR2
Real number (ℝ≥0)

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.74819729
Minimum0
Maximum99
Zeros945
Zeros (%)1.0%
Memory size745.4 KiB
2020-12-15T13:43:55.423346image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q132
median44
Q359
95-th percentile86
Maximum99
Range99
Interquartile range (IQR)27

Descriptive statistics

Standard deviation21.4389112
Coefficient of variation (CV)0.4686285465
Kurtosis-0.3107415682
Mean45.74819729
Median Absolute Deviation (MAD)14
Skewness0.2521704525
Sum4364927
Variance459.6269135
MonotocityNot monotonic
2020-12-15T13:43:55.584305image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4121142.2%
 
4020912.2%
 
3920682.2%
 
4220652.2%
 
3620602.2%
 
3820262.1%
 
4420232.1%
 
3720142.1%
 
4319652.1%
 
3418471.9%
 
Other values (90)7513978.8%
 
ValueCountFrequency (%) 
09451.0%
 
12780.3%
 
22870.3%
 
32870.3%
 
43470.4%
 
ValueCountFrequency (%) 
991630.2%
 
982200.2%
 
972860.3%
 
962760.3%
 
953230.3%
 

RHP1
Real number (ℝ≥0)

Distinct82
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.93528068
Minimum0
Maximum85
Zeros812
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:43:55.754901image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile37
Q148
median52
Q358
95-th percentile71
Maximum85
Range85
Interquartile range (IQR)10

Descriptive statistics

Standard deviation10.7349103
Coefficient of variation (CV)0.2027931119
Kurtosis4.527067762
Mean52.93528068
Median Absolute Deviation (MAD)5
Skewness-0.731664744
Sum5050661
Variance115.2382991
MonotocityNot monotonic
2020-12-15T13:43:55.908451image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4951755.4%
 
5251245.4%
 
5149805.2%
 
5049615.2%
 
5346874.9%
 
4846864.9%
 
5442554.5%
 
5541164.3%
 
5639614.2%
 
4738864.1%
 
Other values (72)4958152.0%
 
ValueCountFrequency (%) 
08120.9%
 
512< 0.1%
 
61< 0.1%
 
75< 0.1%
 
810< 0.1%
 
ValueCountFrequency (%) 
852< 0.1%
 
84490.1%
 
831460.2%
 
822240.2%
 
813370.4%
 

RHP2
Real number (ℝ≥0)

Distinct81
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.76927431
Minimum0
Maximum90
Zeros812
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:43:56.066172image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile38
Q149
median54
Q359
95-th percentile70
Maximum90
Range90
Interquartile range (IQR)10

Descriptive statistics

Standard deviation10.4147823
Coefficient of variation (CV)0.1936939346
Kurtosis5.448183358
Mean53.76927431
Median Absolute Deviation (MAD)5
Skewness-1.021923206
Sum5130234
Variance108.4676904
MonotocityNot monotonic
2020-12-15T13:43:56.211933image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
5356816.0%
 
5255735.8%
 
5455095.8%
 
5549185.2%
 
5148585.1%
 
5044904.7%
 
5643674.6%
 
5739814.2%
 
4938064.0%
 
5837343.9%
 
Other values (71)4849550.8%
 
ValueCountFrequency (%) 
08120.9%
 
1012< 0.1%
 
123< 0.1%
 
138< 0.1%
 
147< 0.1%
 
ValueCountFrequency (%) 
901< 0.1%
 
891< 0.1%
 
883< 0.1%
 
879< 0.1%
 
8628< 0.1%
 

RHP3
Real number (ℝ≥0)

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.13633505
Minimum0
Maximum61
Zeros799
Zeros (%)0.8%
Memory size745.4 KiB
2020-12-15T13:43:56.353086image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q113
median14
Q315
95-th percentile18
Maximum61
Range61
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.559830137
Coefficient of variation (CV)0.1810815977
Kurtosis12.69801567
Mean14.13633505
Median Absolute Deviation (MAD)1
Skewness-0.5409737095
Sum1348776
Variance6.552730331
MonotocityNot monotonic
2020-12-15T13:43:56.488709image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
142145722.5%
 
151735218.2%
 
131719218.0%
 
161004510.5%
 
1289099.3%
 
1752025.5%
 
1041044.3%
 
1139544.1%
 
1826922.8%
 
1913921.5%
 
Other values (17)31133.3%
 
ValueCountFrequency (%) 
07990.8%
 
1041044.3%
 
1139544.1%
 
1289099.3%
 
131719218.0%
 
ValueCountFrequency (%) 
614< 0.1%
 
412< 0.1%
 
331< 0.1%
 
322< 0.1%
 
317< 0.1%
 

RHP4
Real number (ℝ≥0)

Distinct25
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.392162411
Minimum0
Maximum40
Zeros827
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:43:56.630186image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q14
median4
Q35
95-th percentile6
Maximum40
Range40
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.182950447
Coefficient of variation (CV)0.2693321276
Kurtosis30.34542908
Mean4.392162411
Median Absolute Deviation (MAD)1
Skewness2.003416722
Sum419065
Variance1.399371761
MonotocityNot monotonic
2020-12-15T13:43:56.758016image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
44539147.6%
 
53015131.6%
 
394399.9%
 
647945.0%
 
716611.7%
 
212221.3%
 
08270.9%
 
87380.8%
 
93770.4%
 
12860.3%
 
Other values (15)5260.6%
 
ValueCountFrequency (%) 
08270.9%
 
12860.3%
 
212221.3%
 
394399.9%
 
44539147.6%
 
ValueCountFrequency (%) 
402< 0.1%
 
271< 0.1%
 
222< 0.1%
 
211< 0.1%
 
201< 0.1%
 

HUPA1
Real number (ℝ≥0)

ZEROS

Distinct96
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.15429925
Minimum0
Maximum99
Zeros17899
Zeros (%)18.8%
Memory size745.4 KiB
2020-12-15T13:43:56.909233image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q315
95-th percentile36
Maximum99
Range99
Interquartile range (IQR)14

Descriptive statistics

Standard deviation12.79033427
Coefficient of variation (CV)1.259597926
Kurtosis5.704420246
Mean10.15429925
Median Absolute Deviation (MAD)5
Skewness2.113714673
Sum968842
Variance163.5926508
MonotocityNot monotonic
2020-12-15T13:43:57.064739image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01789918.8%
 
1989710.4%
 
263206.6%
 
351625.4%
 
446344.9%
 
539934.2%
 
636293.8%
 
732873.4%
 
829573.1%
 
927572.9%
 
Other values (86)3487736.6%
 
ValueCountFrequency (%) 
01789918.8%
 
1989710.4%
 
263206.6%
 
351625.4%
 
446344.9%
 
ValueCountFrequency (%) 
998< 0.1%
 
952< 0.1%
 
933< 0.1%
 
927< 0.1%
 
919< 0.1%
 

HUPA2
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.313996143
Minimum0
Maximum99
Zeros44554
Zeros (%)46.7%
Memory size745.4 KiB
2020-12-15T13:43:57.220547image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q311
95-th percentile48
Maximum99
Range99
Interquartile range (IQR)11

Descriptive statistics

Standard deviation17.10943011
Coefficient of variation (CV)1.836959115
Kurtosis6.86890264
Mean9.313996143
Median Absolute Deviation (MAD)1
Skewness2.551493408
Sum888667
Variance292.7325989
MonotocityNot monotonic
2020-12-15T13:43:57.379446image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
04455446.7%
 
168317.2%
 
243624.6%
 
333243.5%
 
426172.7%
 
522022.3%
 
618051.9%
 
717731.9%
 
815101.6%
 
912051.3%
 
Other values (90)2522926.4%
 
ValueCountFrequency (%) 
04455446.7%
 
168317.2%
 
243624.6%
 
333243.5%
 
426172.7%
 
ValueCountFrequency (%) 
99530.1%
 
9846< 0.1%
 
97490.1%
 
96650.1%
 
95620.1%
 

HUPA3
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.550863623
Minimum0
Maximum99
Zeros48359
Zeros (%)50.7%
Memory size745.4 KiB
2020-12-15T13:43:57.536729image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q313
95-th percentile37
Maximum99
Range99
Interquartile range (IQR)13

Descriptive statistics

Standard deviation14.40338161
Coefficient of variation (CV)1.684435894
Kurtosis7.386844148
Mean8.550863623
Median Absolute Deviation (MAD)0
Skewness2.434543326
Sum815855
Variance207.4574018
MonotocityNot monotonic
2020-12-15T13:43:57.693574image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
04835950.7%
 
150285.3%
 
224022.5%
 
318181.9%
 
417031.8%
 
516981.8%
 
815181.6%
 
615091.6%
 
714901.6%
 
914291.5%
 
Other values (90)2845829.8%
 
ValueCountFrequency (%) 
04835950.7%
 
150285.3%
 
224022.5%
 
318181.9%
 
417031.8%
 
ValueCountFrequency (%) 
99540.1%
 
9827< 0.1%
 
9721< 0.1%
 
9616< 0.1%
 
9512< 0.1%
 

HUPA4
Real number (ℝ≥0)

ZEROS

Distinct97
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.15870121
Minimum0
Maximum99
Zeros2067
Zeros (%)2.2%
Memory size745.4 KiB
2020-12-15T13:43:57.852576image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median10
Q315
95-th percentile25
Maximum99
Range99
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.795425802
Coefficient of variation (CV)0.6985961586
Kurtosis11.57585766
Mean11.15870121
Median Absolute Deviation (MAD)4
Skewness2.086421988
Sum1064674
Variance60.76866343
MonotocityNot monotonic
2020-12-15T13:43:58.011205image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
861116.4%
 
959026.2%
 
759026.2%
 
1058276.1%
 
656415.9%
 
1154235.7%
 
552855.5%
 
1349625.2%
 
1249365.2%
 
448345.1%
 
Other values (87)4058942.5%
 
ValueCountFrequency (%) 
020672.2%
 
122192.3%
 
234093.6%
 
341234.3%
 
448345.1%
 
ValueCountFrequency (%) 
9916< 0.1%
 
982< 0.1%
 
974< 0.1%
 
961< 0.1%
 
952< 0.1%
 

HUPA5
Real number (ℝ≥0)

ZEROS

Distinct77
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.219878003
Minimum0
Maximum99
Zeros25513
Zeros (%)26.7%
Memory size745.4 KiB
2020-12-15T13:43:58.173821image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q37
95-th percentile20
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.459755092
Coefficient of variation (CV)1.429105257
Kurtosis10.87969161
Mean5.219878003
Median Absolute Deviation (MAD)2
Skewness2.733353198
Sum498039
Variance55.64794604
MonotocityNot monotonic
2020-12-15T13:43:58.338081image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02551326.7%
 
11359214.2%
 
291439.6%
 
371607.5%
 
457726.0%
 
548195.1%
 
639124.1%
 
733943.6%
 
828903.0%
 
923632.5%
 
Other values (67)1685417.7%
 
ValueCountFrequency (%) 
02551326.7%
 
11359214.2%
 
291439.6%
 
371607.5%
 
457726.0%
 
ValueCountFrequency (%) 
994< 0.1%
 
872< 0.1%
 
861< 0.1%
 
841< 0.1%
 
832< 0.1%
 

HUPA6
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.00535572
Minimum0
Maximum99
Zeros36538
Zeros (%)38.3%
Memory size745.4 KiB
2020-12-15T13:43:58.505423image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q315
95-th percentile52
Maximum99
Range99
Interquartile range (IQR)15

Descriptive statistics

Standard deviation17.80802291
Coefficient of variation (CV)1.618123336
Kurtosis4.896115775
Mean11.00535572
Median Absolute Deviation (MAD)2
Skewness2.205810565
Sum1050043
Variance317.1256801
MonotocityNot monotonic
2020-12-15T13:43:58.664933image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03653838.3%
 
168637.2%
 
247425.0%
 
339184.1%
 
430053.1%
 
525912.7%
 
721292.2%
 
620822.2%
 
818071.9%
 
915721.6%
 
Other values (90)3016531.6%
 
ValueCountFrequency (%) 
03653838.3%
 
168637.2%
 
247425.0%
 
339184.1%
 
430053.1%
 
ValueCountFrequency (%) 
9936< 0.1%
 
9828< 0.1%
 
9745< 0.1%
 
9632< 0.1%
 
9545< 0.1%
 

HUPA7
Real number (ℝ≥0)

ZEROS

Distinct48
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.612606381
Minimum0
Maximum99
Zeros55704
Zeros (%)58.4%
Memory size745.4 KiB
2020-12-15T13:43:58.829126image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile7
Maximum99
Range99
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.021739397
Coefficient of variation (CV)1.873823292
Kurtosis67.43184087
Mean1.612606381
Median Absolute Deviation (MAD)0
Skewness4.855494127
Sum153862
Variance9.130908984
MonotocityNot monotonic
2020-12-15T13:43:58.986321image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%) 
05570458.4%
 
1968710.2%
 
272607.6%
 
361176.4%
 
448695.1%
 
535383.7%
 
624582.6%
 
716221.7%
 
811051.2%
 
97800.8%
 
Other values (38)22722.4%
 
ValueCountFrequency (%) 
05570458.4%
 
1968710.2%
 
272607.6%
 
361176.4%
 
448695.1%
 
ValueCountFrequency (%) 
993< 0.1%
 
981< 0.1%
 
493< 0.1%
 
481< 0.1%
 
462< 0.1%
 

RP1
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.14110384
Minimum0
Maximum99
Zeros16042
Zeros (%)16.8%
Memory size745.4 KiB
2020-12-15T13:44:00.000338image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median14
Q354
95-th percentile92
Maximum99
Range99
Interquartile range (IQR)52

Descriptive statistics

Standard deviation32.19514487
Coefficient of variation (CV)1.104801831
Kurtosis-0.7649527509
Mean29.14110384
Median Absolute Deviation (MAD)14
Skewness0.8352385416
Sum2780411
Variance1036.527353
MonotocityNot monotonic
2020-12-15T13:44:00.157194image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01604216.8%
 
173807.7%
 
246554.9%
 
332963.5%
 
426152.7%
 
523112.4%
 
618972.0%
 
716951.8%
 
814821.6%
 
913661.4%
 
Other values (90)5267355.2%
 
ValueCountFrequency (%) 
01604216.8%
 
173807.7%
 
246554.9%
 
332963.5%
 
426152.7%
 
ValueCountFrequency (%) 
997790.8%
 
984490.5%
 
975860.6%
 
966420.7%
 
956270.7%
 

RP2
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.36637949
Minimum0
Maximum99
Zeros6483
Zeros (%)6.8%
Memory size745.4 KiB
2020-12-15T13:44:00.311643image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median36
Q377
95-th percentile96
Maximum99
Range99
Interquartile range (IQR)70

Descriptive statistics

Standard deviation34.93084028
Coefficient of variation (CV)0.8244943442
Kurtosis-1.484011829
Mean42.36637949
Median Absolute Deviation (MAD)32
Skewness0.2490301946
Sum4042261
Variance1220.163602
MonotocityNot monotonic
2020-12-15T13:44:00.466468image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
064836.8%
 
140874.3%
 
232503.4%
 
326592.8%
 
422382.3%
 
520692.2%
 
617921.9%
 
715721.6%
 
9915511.6%
 
815061.6%
 
Other values (90)6820571.5%
 
ValueCountFrequency (%) 
064836.8%
 
140874.3%
 
232503.4%
 
326592.8%
 
422382.3%
 
ValueCountFrequency (%) 
9915511.6%
 
9812091.3%
 
9714921.6%
 
9614821.6%
 
9514741.5%
 

RP3
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.68197921
Minimum0
Maximum99
Zeros1723
Zeros (%)1.8%
Memory size745.4 KiB
2020-12-15T13:44:00.623202image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q129
median68
Q391
95-th percentile98
Maximum99
Range99
Interquartile range (IQR)62

Descriptive statistics

Standard deviation32.89387376
Coefficient of variation (CV)0.5511525288
Kurtosis-1.283857923
Mean59.68197921
Median Absolute Deviation (MAD)26
Skewness-0.4228714687
Sum5694377
Variance1082.006931
MonotocityNot monotonic
2020-12-15T13:44:00.782452image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
9938264.0%
 
9732873.4%
 
9830883.2%
 
9629743.1%
 
9526472.8%
 
9423992.5%
 
9321682.3%
 
9218832.0%
 
9017581.8%
 
017231.8%
 
Other values (90)6965973.0%
 
ValueCountFrequency (%) 
017231.8%
 
16500.7%
 
29441.0%
 
310481.1%
 
410851.1%
 
ValueCountFrequency (%) 
9938264.0%
 
9830883.2%
 
9732873.4%
 
9629743.1%
 
9526472.8%
 

RP4
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.5225653
Minimum0
Maximum99
Zeros963
Zeros (%)1.0%
Memory size745.4 KiB
2020-12-15T13:44:00.943044image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23
Q164
median86
Q395
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)31

Descriptive statistics

Standard deviation24.2758518
Coefficient of variation (CV)0.31723782
Kurtosis0.7414305579
Mean76.5225653
Median Absolute Deviation (MAD)11
Skewness-1.264470749
Sum7301171
Variance589.3169804
MonotocityNot monotonic
2020-12-15T13:44:01.102349image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
9976848.1%
 
9859186.2%
 
9753055.6%
 
9645934.8%
 
9539774.2%
 
9434073.6%
 
9329773.1%
 
9226832.8%
 
9124672.6%
 
9022762.4%
 
Other values (90)5412556.7%
 
ValueCountFrequency (%) 
09631.0%
 
15< 0.1%
 
217< 0.1%
 
337< 0.1%
 
446< 0.1%
 
ValueCountFrequency (%) 
9976848.1%
 
9859186.2%
 
9753055.6%
 
9645934.8%
 
9539774.2%
 

MSA
Real number (ℝ≥0)

ZEROS

Distinct298
Distinct (%)0.3%
Missing132
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean3527.744102
Minimum0
Maximum9360
Zeros21333
Zeros (%)22.4%
Memory size745.4 KiB
2020-12-15T13:44:01.259377image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1520
median3350
Q35960
95-th percentile8280
Maximum9360
Range9360
Interquartile range (IQR)5440

Descriptive statistics

Standard deviation2863.904737
Coefficient of variation (CV)0.8118232656
Kurtosis-1.280158991
Mean3527.744102
Median Absolute Deviation (MAD)2770
Skewness0.2312302894
Sum336123458
Variance8201950.341
MonotocityNot monotonic
2020-12-15T13:44:01.406856image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02133322.4%
 
448046064.8%
 
160040594.3%
 
216025862.7%
 
52016851.8%
 
678015251.6%
 
594515001.6%
 
732014721.5%
 
760014571.5%
 
336014141.5%
 
Other values (288)5364356.2%
 
ValueCountFrequency (%) 
02133322.4%
 
40520.1%
 
802< 0.1%
 
120480.1%
 
1606< 0.1%
 
ValueCountFrequency (%) 
9360660.1%
 
9340700.1%
 
93202< 0.1%
 
92801< 0.1%
 
9270760.1%
 

ADI
Real number (ℝ≥0)

Distinct204
Distinct (%)0.2%
Missing132
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean187.3564022
Minimum0
Maximum651
Zeros843
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:44:01.555291image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13
Q165
median175
Q3279
95-th percentile433
Maximum651
Range651
Interquartile range (IQR)214

Descriptive statistics

Standard deviation137.0191839
Coefficient of variation (CV)0.7313290728
Kurtosis-0.1978271293
Mean187.3564022
Median Absolute Deviation (MAD)108
Skewness0.6755885753
Sum17851318
Variance18774.25675
MonotocityNot monotonic
2020-12-15T13:44:01.700547image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1372967.6%
 
5146224.8%
 
6537653.9%
 
5728363.0%
 
10526172.7%
 
19720752.2%
 
10920542.2%
 
13119782.1%
 
6718471.9%
 
20117721.9%
 
Other values (194)6441867.5%
 
ValueCountFrequency (%) 
08430.9%
 
329< 0.1%
 
9680.1%
 
1125< 0.1%
 
1372967.6%
 
ValueCountFrequency (%) 
6511< 0.1%
 
6452570.3%
 
62728< 0.1%
 
625630.1%
 
6211180.1%
 

DMA
Real number (ℝ≥0)

Distinct206
Distinct (%)0.2%
Missing132
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean664.0040722
Minimum0
Maximum881
Zeros187
Zeros (%)0.2%
Memory size745.4 KiB
2020-12-15T13:44:01.858065image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile513
Q1561
median635
Q3801
95-th percentile828
Maximum881
Range881
Interquartile range (IQR)240

Descriptive statistics

Standard deviation116.3636002
Coefficient of variation (CV)0.1752453111
Kurtosis0.5573482571
Mean664.0040722
Median Absolute Deviation (MAD)101
Skewness-0.1067480816
Sum63266308
Variance13540.48746
MonotocityNot monotonic
2020-12-15T13:44:02.005950image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
80372967.6%
 
60246324.9%
 
80737653.9%
 
50528393.0%
 
81925882.7%
 
53922222.3%
 
52420792.2%
 
62320092.1%
 
86218471.9%
 
75317801.9%
 
Other values (196)6422367.3%
 
ValueCountFrequency (%) 
01870.2%
 
5008< 0.1%
 
501680.1%
 
5022< 0.1%
 
5032450.3%
 
ValueCountFrequency (%) 
8816400.7%
 
8683450.4%
 
8665820.6%
 
86218471.9%
 
8554130.4%
 

IC1
Real number (ℝ≥0)

Distinct1134
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean340.056387
Minimum0
Maximum1500
Zeros878
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:44:02.162251image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile151
Q1231
median310
Q3414
95-th percentile631
Maximum1500
Range1500
Interquartile range (IQR)183

Descriptive statistics

Standard deviation162.8832831
Coefficient of variation (CV)0.4789890422
Kurtosis6.017920212
Mean340.056387
Median Absolute Deviation (MAD)89
Skewness1.674610866
Sum32445460
Variance26530.96392
MonotocityNot monotonic
2020-12-15T13:44:02.317845image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
08780.9%
 
2634260.4%
 
3134110.4%
 
2134090.4%
 
2584020.4%
 
2183970.4%
 
3113860.4%
 
2723790.4%
 
2613690.4%
 
2493690.4%
 
Other values (1124)9098695.4%
 
ValueCountFrequency (%) 
08780.9%
 
50520.1%
 
517< 0.1%
 
524< 0.1%
 
536< 0.1%
 
ValueCountFrequency (%) 
1500930.1%
 
14901< 0.1%
 
14881< 0.1%
 
14681< 0.1%
 
14491< 0.1%
 

IC2
Real number (ℝ≥0)

Distinct1213
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean387.027114
Minimum0
Maximum1500
Zeros928
Zeros (%)1.0%
Memory size745.4 KiB
2020-12-15T13:44:02.479507image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile186
Q1274
median355
Q3465
95-th percentile690
Maximum1500
Range1500
Interquartile range (IQR)191

Descriptive statistics

Standard deviation173.6146271
Coefficient of variation (CV)0.4485851788
Kurtosis5.90131063
Mean387.027114
Median Absolute Deviation (MAD)92
Skewness1.661686605
Sum36927031
Variance30142.03875
MonotocityNot monotonic
2020-12-15T13:44:02.629293image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
09281.0%
 
2884670.5%
 
3133900.4%
 
3153760.4%
 
2633760.4%
 
3083710.4%
 
3213620.4%
 
3233570.4%
 
2613570.4%
 
3103560.4%
 
Other values (1203)9107295.5%
 
ValueCountFrequency (%) 
09281.0%
 
5041< 0.1%
 
511< 0.1%
 
538< 0.1%
 
5410< 0.1%
 
ValueCountFrequency (%) 
15001430.1%
 
14962< 0.1%
 
14932< 0.1%
 
14881< 0.1%
 
14823< 0.1%
 

IC3
Real number (ℝ≥0)

Distinct1091
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean387.4183017
Minimum0
Maximum1500
Zeros878
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:44:02.789916image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile199
Q1277
median354
Q3466
95-th percentile697
Maximum1500
Range1500
Interquartile range (IQR)189

Descriptive statistics

Standard deviation161.270738
Coefficient of variation (CV)0.4162703138
Kurtosis2.374992299
Mean387.4183017
Median Absolute Deviation (MAD)89
Skewness1.168304734
Sum36964355
Variance26008.25094
MonotocityNot monotonic
2020-12-15T13:44:02.948933image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
08780.9%
 
2713930.4%
 
2783780.4%
 
2803770.4%
 
2793730.4%
 
3113720.4%
 
2903700.4%
 
3103600.4%
 
2983600.4%
 
2813590.4%
 
Other values (1081)9119295.6%
 
ValueCountFrequency (%) 
08780.9%
 
257< 0.1%
 
411< 0.1%
 
421< 0.1%
 
491< 0.1%
 
ValueCountFrequency (%) 
15002< 0.1%
 
13941< 0.1%
 
13591< 0.1%
 
13112< 0.1%
 
13071< 0.1%
 

IC4
Real number (ℝ≥0)

Distinct1156
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean430.7929611
Minimum0
Maximum1500
Zeros928
Zeros (%)1.0%
Memory size745.4 KiB
2020-12-15T13:44:03.125173image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile228
Q1314
median397
Q3514
95-th percentile758
Maximum1500
Range1500
Interquartile range (IQR)200

Descriptive statistics

Standard deviation171.643319
Coefficient of variation (CV)0.3984357557
Kurtosis2.179885148
Mean430.7929611
Median Absolute Deviation (MAD)94
Skewness1.088427179
Sum41102818
Variance29461.42896
MonotocityNot monotonic
2020-12-15T13:44:03.274930image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
09281.0%
 
3443700.4%
 
3203500.4%
 
3253470.4%
 
3463460.4%
 
3133430.4%
 
3433430.4%
 
3383430.4%
 
3293380.4%
 
3303360.4%
 
Other values (1146)9136895.8%
 
ValueCountFrequency (%) 
09281.0%
 
255< 0.1%
 
421< 0.1%
 
471< 0.1%
 
572< 0.1%
 
ValueCountFrequency (%) 
15003< 0.1%
 
14533< 0.1%
 
13941< 0.1%
 
13771< 0.1%
 
13752< 0.1%
 

IC5
Real number (ℝ≥0)

Distinct21514
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15722.73823
Minimum0
Maximum174523
Zeros860
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:44:03.442530image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7574
Q110788
median13727.5
Q318169
95-th percentile30226.45
Maximum174523
Range174523
Interquartile range (IQR)7381

Descriptive statistics

Standard deviation8563.646776
Coefficient of variation (CV)0.5446663711
Kurtosis20.31954863
Mean15722.73823
Median Absolute Deviation (MAD)3452.5
Skewness3.195142773
Sum1500137900
Variance73336046.1
MonotocityNot monotonic
2020-12-15T13:44:03.593419image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
08600.9%
 
2287541< 0.1%
 
1310327< 0.1%
 
1093126< 0.1%
 
1257726< 0.1%
 
1245225< 0.1%
 
1734425< 0.1%
 
1016425< 0.1%
 
1356025< 0.1%
 
1157625< 0.1%
 
Other values (21504)9430798.8%
 
ValueCountFrequency (%) 
08600.9%
 
9001< 0.1%
 
13183< 0.1%
 
15001< 0.1%
 
19621< 0.1%
 
ValueCountFrequency (%) 
1745231< 0.1%
 
1593063< 0.1%
 
1302951< 0.1%
 
1194541< 0.1%
 
1126452< 0.1%
 

IC6
Real number (ℝ≥0)

ZEROS

Distinct99
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.49793527
Minimum0
Maximum99
Zeros2177
Zeros (%)2.3%
Memory size745.4 KiB
2020-12-15T13:44:03.760688image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median19
Q331
95-th percentile48
Maximum99
Range99
Interquartile range (IQR)21

Descriptive statistics

Standard deviation14.51059775
Coefficient of variation (CV)0.6749763441
Kurtosis0.8603870146
Mean21.49793527
Median Absolute Deviation (MAD)10
Skewness0.8738860447
Sum2051161
Variance210.5574472
MonotocityNot monotonic
2020-12-15T13:44:03.924090image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1128873.0%
 
1028483.0%
 
1327892.9%
 
627392.9%
 
827302.9%
 
927252.9%
 
1227112.8%
 
726802.8%
 
1526582.8%
 
1726362.8%
 
Other values (89)6800971.3%
 
ValueCountFrequency (%) 
021772.3%
 
16680.7%
 
216431.7%
 
320322.1%
 
422932.4%
 
ValueCountFrequency (%) 
9927< 0.1%
 
974< 0.1%
 
961< 0.1%
 
952< 0.1%
 
944< 0.1%
 

IC7
Real number (ℝ≥0)

ZEROS

Distinct65
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.90797803
Minimum0
Maximum99
Zeros1858
Zeros (%)1.9%
Memory size745.4 KiB
2020-12-15T13:44:04.090560image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q111
median17
Q322
95-th percentile29
Maximum99
Range99
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.959410377
Coefficient of variation (CV)0.4707488005
Kurtosis0.8649237884
Mean16.90797803
Median Absolute Deviation (MAD)5
Skewness0.175792535
Sum1613224
Variance63.35221355
MonotocityNot monotonic
2020-12-15T13:44:04.250405image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1951255.4%
 
2051105.4%
 
2149785.2%
 
1848165.0%
 
2244684.7%
 
1743974.6%
 
2342574.5%
 
1542434.4%
 
1640994.3%
 
1439034.1%
 
Other values (55)5001652.4%
 
ValueCountFrequency (%) 
018581.9%
 
13830.4%
 
210031.1%
 
314441.5%
 
416651.7%
 
ValueCountFrequency (%) 
997< 0.1%
 
821< 0.1%
 
691< 0.1%
 
641< 0.1%
 
621< 0.1%
 

IC8
Real number (ℝ≥0)

ZEROS

Distinct60
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.74737978
Minimum0
Maximum99
Zeros1582
Zeros (%)1.7%
Memory size745.4 KiB
2020-12-15T13:44:04.408243image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q112
median16
Q320
95-th percentile26
Maximum99
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.278436766
Coefficient of variation (CV)0.3986972342
Kurtosis2.541787091
Mean15.74737978
Median Absolute Deviation (MAD)4
Skewness0.2092212545
Sum1502489
Variance39.41876822
MonotocityNot monotonic
2020-12-15T13:44:04.568245image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1672887.6%
 
1769927.3%
 
1868647.2%
 
1568317.2%
 
1460006.3%
 
1959536.2%
 
1352785.5%
 
2049885.2%
 
1245314.7%
 
2140914.3%
 
Other values (50)3659638.4%
 
ValueCountFrequency (%) 
015821.7%
 
12030.2%
 
24910.5%
 
37430.8%
 
411131.2%
 
ValueCountFrequency (%) 
995< 0.1%
 
821< 0.1%
 
671< 0.1%
 
643< 0.1%
 
631< 0.1%
 

IC9
Real number (ℝ≥0)

ZEROS

Distinct66
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.33759904
Minimum0
Maximum99
Zeros1424
Zeros (%)1.5%
Memory size745.4 KiB
2020-12-15T13:44:04.729537image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q114
median18
Q323
95-th percentile31
Maximum99
Range99
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.438055883
Coefficient of variation (CV)0.4056177619
Kurtosis2.620556103
Mean18.33759904
Median Absolute Deviation (MAD)5
Skewness0.4067697437
Sum1749627
Variance55.32467532
MonotocityNot monotonic
2020-12-15T13:44:04.884282image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1854315.7%
 
1953665.6%
 
1753615.6%
 
1652355.5%
 
1550825.3%
 
2050335.3%
 
2149715.2%
 
1448235.1%
 
2246934.9%
 
1341354.3%
 
Other values (56)4528247.5%
 
ValueCountFrequency (%) 
014241.5%
 
1980.1%
 
22720.3%
 
34400.5%
 
46120.6%
 
ValueCountFrequency (%) 
9915< 0.1%
 
721< 0.1%
 
691< 0.1%
 
671< 0.1%
 
652< 0.1%
 

IC10
Real number (ℝ≥0)

ZEROS

Distinct67
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.95146313
Minimum0
Maximum99
Zeros2525
Zeros (%)2.6%
Memory size745.4 KiB
2020-12-15T13:44:05.041628image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q18
median15
Q322
95-th percentile34
Maximum99
Range99
Interquartile range (IQR)14

Descriptive statistics

Standard deviation9.686003334
Coefficient of variation (CV)0.607217235
Kurtosis0.4463382338
Mean15.95146313
Median Absolute Deviation (MAD)7
Skewness0.6830494036
Sum1521961
Variance93.81866059
MonotocityNot monotonic
2020-12-15T13:44:05.202679image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
842354.4%
 
942184.4%
 
1042174.4%
 
741614.4%
 
1139144.1%
 
1238014.0%
 
637814.0%
 
1435943.8%
 
1335903.8%
 
1535253.7%
 
Other values (57)5637659.1%
 
ValueCountFrequency (%) 
025252.6%
 
14790.5%
 
213181.4%
 
319872.1%
 
425972.7%
 
ValueCountFrequency (%) 
998< 0.1%
 
681< 0.1%
 
651< 0.1%
 
642< 0.1%
 
632< 0.1%
 

IC11
Real number (ℝ≥0)

ZEROS

Distinct50
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.586247013
Minimum0
Maximum99
Zeros14562
Zeros (%)15.3%
Memory size745.4 KiB
2020-12-15T13:44:05.364313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q38
95-th percentile18
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.835321056
Coefficient of variation (CV)1.044587009
Kurtosis3.709101757
Mean5.586247013
Median Absolute Deviation (MAD)3
Skewness1.655086036
Sum532995
Variance34.05097183
MonotocityNot monotonic
2020-12-15T13:44:05.520048image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01456215.3%
 
21261013.2%
 
1988110.4%
 
3966910.1%
 
473757.7%
 
562096.5%
 
649955.2%
 
742374.4%
 
836693.8%
 
931243.3%
 
Other values (40)1908120.0%
 
ValueCountFrequency (%) 
01456215.3%
 
1988110.4%
 
21261013.2%
 
3966910.1%
 
473757.7%
 
ValueCountFrequency (%) 
991< 0.1%
 
553< 0.1%
 
541< 0.1%
 
531< 0.1%
 
521< 0.1%
 

IC12
Real number (ℝ≥0)

ZEROS

Distinct36
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.211891586
Minimum0
Maximum50
Zeros38694
Zeros (%)40.6%
Memory size745.4 KiB
2020-12-15T13:44:05.662420image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile9
Maximum50
Range50
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.346289308
Coefficient of variation (CV)1.512863166
Kurtosis9.077857499
Mean2.211891586
Median Absolute Deviation (MAD)1
Skewness2.572769254
Sum211041
Variance11.19765213
MonotocityNot monotonic
2020-12-15T13:44:05.803380image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%) 
03869440.6%
 
11814719.0%
 
21165212.2%
 
371077.4%
 
446484.9%
 
533753.5%
 
624692.6%
 
719532.0%
 
815211.6%
 
912991.4%
 
Other values (26)45474.8%
 
ValueCountFrequency (%) 
03869440.6%
 
11814719.0%
 
21165212.2%
 
371077.4%
 
446484.9%
 
ValueCountFrequency (%) 
502< 0.1%
 
362< 0.1%
 
351< 0.1%
 
332< 0.1%
 
317< 0.1%
 

IC13
Real number (ℝ≥0)

ZEROS

Distinct31
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.935699912
Minimum0
Maximum61
Zeros61424
Zeros (%)64.4%
Memory size745.4 KiB
2020-12-15T13:44:05.937425image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum61
Range61
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.923140109
Coefficient of variation (CV)2.055295811
Kurtosis41.49003611
Mean0.935699912
Median Absolute Deviation (MAD)0
Skewness4.167247465
Sum89277
Variance3.698467881
MonotocityNot monotonic
2020-12-15T13:44:06.066804image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%) 
06142464.4%
 
11462715.3%
 
277358.1%
 
339884.2%
 
425352.7%
 
515601.6%
 
611421.2%
 
76870.7%
 
85550.6%
 
93380.4%
 
Other values (21)8210.9%
 
ValueCountFrequency (%) 
06142464.4%
 
11462715.3%
 
277358.1%
 
339884.2%
 
425352.7%
 
ValueCountFrequency (%) 
612< 0.1%
 
461< 0.1%
 
451< 0.1%
 
281< 0.1%
 
271< 0.1%
 

IC14
Real number (ℝ≥0)

ZEROS

Distinct71
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.888588438
Minimum0
Maximum99
Zeros52170
Zeros (%)54.7%
Memory size745.4 KiB
2020-12-15T13:44:06.219721image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile9
Maximum99
Range99
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.640739741
Coefficient of variation (CV)2.457253073
Kurtosis44.8249838
Mean1.888588438
Median Absolute Deviation (MAD)0
Skewness5.612900495
Sum180194
Variance21.53646535
MonotocityNot monotonic
2020-12-15T13:44:06.376717image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
05217054.7%
 
11635317.1%
 
288869.3%
 
347134.9%
 
429863.1%
 
521232.2%
 
614701.5%
 
79891.0%
 
87790.8%
 
96750.7%
 
Other values (61)42684.5%
 
ValueCountFrequency (%) 
05217054.7%
 
11635317.1%
 
288869.3%
 
347134.9%
 
429863.1%
 
ValueCountFrequency (%) 
992< 0.1%
 
821< 0.1%
 
701< 0.1%
 
682< 0.1%
 
671< 0.1%
 

IC15
Real number (ℝ≥0)

ZEROS

Distinct96
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.79556031
Minimum0
Maximum99
Zeros5579
Zeros (%)5.8%
Memory size745.4 KiB
2020-12-15T13:44:06.537174image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median12
Q321
95-th percentile38
Maximum99
Range99
Interquartile range (IQR)16

Descriptive statistics

Standard deviation12.34113507
Coefficient of variation (CV)0.8341106938
Kurtosis2.93315794
Mean14.79556031
Median Absolute Deviation (MAD)8
Skewness1.391452645
Sum1411674
Variance152.3036149
MonotocityNot monotonic
2020-12-15T13:44:06.694432image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
055795.8%
 
444714.7%
 
343454.6%
 
543244.5%
 
641954.4%
 
740024.2%
 
238694.1%
 
837824.0%
 
936433.8%
 
1033683.5%
 
Other values (86)5383456.4%
 
ValueCountFrequency (%) 
055795.8%
 
117281.8%
 
238694.1%
 
343454.6%
 
444714.7%
 
ValueCountFrequency (%) 
9935< 0.1%
 
961< 0.1%
 
951< 0.1%
 
942< 0.1%
 
911< 0.1%
 

IC16
Real number (ℝ≥0)

ZEROS

Distinct78
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.92549155
Minimum0
Maximum99
Zeros3304
Zeros (%)3.5%
Memory size745.4 KiB
2020-12-15T13:44:06.854279image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median16
Q322
95-th percentile31
Maximum99
Range99
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.170849915
Coefficient of variation (CV)0.5758597708
Kurtosis1.160843705
Mean15.92549155
Median Absolute Deviation (MAD)7
Skewness0.5137164435
Sum1519483
Variance84.10448816
MonotocityNot monotonic
2020-12-15T13:44:07.018905image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2038404.0%
 
1938394.0%
 
2138384.0%
 
1637904.0%
 
1837613.9%
 
1737343.9%
 
2235813.8%
 
1535373.7%
 
1335203.7%
 
1434583.6%
 
Other values (68)5851461.3%
 
ValueCountFrequency (%) 
033043.5%
 
17390.8%
 
216531.7%
 
323142.4%
 
426012.7%
 
ValueCountFrequency (%) 
9913< 0.1%
 
821< 0.1%
 
811< 0.1%
 
771< 0.1%
 
762< 0.1%
 

IC17
Real number (ℝ≥0)

ZEROS

Distinct72
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.43386576
Minimum0
Maximum99
Zeros2444
Zeros (%)2.6%
Memory size745.4 KiB
2020-12-15T13:44:07.181142image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q111
median17
Q321
95-th percentile29
Maximum99
Range99
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.640647342
Coefficient of variation (CV)0.4649330506
Kurtosis2.465701238
Mean16.43386576
Median Absolute Deviation (MAD)5
Skewness0.4017554972
Sum1567988
Variance58.37949181
MonotocityNot monotonic
2020-12-15T13:44:07.336765image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1857316.0%
 
1755995.9%
 
1955105.8%
 
1652365.5%
 
2051575.4%
 
1547705.0%
 
2147505.0%
 
1446254.8%
 
1343404.5%
 
2240164.2%
 
Other values (62)4567847.9%
 
ValueCountFrequency (%) 
024442.6%
 
12130.2%
 
27550.8%
 
311091.2%
 
414391.5%
 
ValueCountFrequency (%) 
9911< 0.1%
 
821< 0.1%
 
772< 0.1%
 
751< 0.1%
 
732< 0.1%
 

IC18
Real number (ℝ≥0)

ZEROS

Distinct71
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.61324571
Minimum0
Maximum99
Zeros1912
Zeros (%)2.0%
Memory size745.4 KiB
2020-12-15T13:44:07.497304image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q115
median21
Q326
95-th percentile34
Maximum99
Range99
Interquartile range (IQR)11

Descriptive statistics

Standard deviation8.472724596
Coefficient of variation (CV)0.411033018
Kurtosis2.044607594
Mean20.61324571
Median Absolute Deviation (MAD)5
Skewness0.2929448198
Sum1966751
Variance71.78706208
MonotocityNot monotonic
2020-12-15T13:44:07.654904image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2049065.1%
 
2148945.1%
 
2248625.1%
 
1947555.0%
 
2346864.9%
 
1844864.7%
 
2443684.6%
 
1743534.6%
 
1641564.4%
 
2541364.3%
 
Other values (61)4981052.2%
 
ValueCountFrequency (%) 
019122.0%
 
146< 0.1%
 
21610.2%
 
33640.4%
 
45380.6%
 
ValueCountFrequency (%) 
9920< 0.1%
 
822< 0.1%
 
762< 0.1%
 
691< 0.1%
 
681< 0.1%
 

IC19
Real number (ℝ≥0)

ZEROS

Distinct73
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.66591204
Minimum0
Maximum99
Zeros3175
Zeros (%)3.3%
Memory size745.4 KiB
2020-12-15T13:44:07.813342image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median18
Q326
95-th percentile37
Maximum99
Range99
Interquartile range (IQR)16

Descriptive statistics

Standard deviation10.64421296
Coefficient of variation (CV)0.5702487474
Kurtosis0.1412507729
Mean18.66591204
Median Absolute Deviation (MAD)8
Skewness0.4909807339
Sum1780952
Variance113.2992696
MonotocityNot monotonic
2020-12-15T13:44:07.973913image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1235673.7%
 
1335193.7%
 
1134933.7%
 
1034073.6%
 
933443.5%
 
1632763.4%
 
1432663.4%
 
1532523.4%
 
831873.3%
 
031753.3%
 
Other values (63)6192664.9%
 
ValueCountFrequency (%) 
031753.3%
 
11780.2%
 
26890.7%
 
312101.3%
 
415121.6%
 
ValueCountFrequency (%) 
9911< 0.1%
 
841< 0.1%
 
811< 0.1%
 
703< 0.1%
 
681< 0.1%
 

IC20
Real number (ℝ≥0)

ZEROS

Distinct54
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.584412862
Minimum0
Maximum99
Zeros16124
Zeros (%)16.9%
Memory size745.4 KiB
2020-12-15T13:44:08.134619image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q310
95-th percentile20
Maximum99
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.666176336
Coefficient of variation (CV)1.012417732
Kurtosis2.900646635
Mean6.584412862
Median Absolute Deviation (MAD)4
Skewness1.468693535
Sum628232
Variance44.43790694
MonotocityNot monotonic
2020-12-15T13:44:08.288664image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01612416.9%
 
2983510.3%
 
388439.3%
 
472617.6%
 
560476.3%
 
159896.3%
 
651505.4%
 
742834.5%
 
836093.8%
 
934093.6%
 
Other values (44)2486226.1%
 
ValueCountFrequency (%) 
01612416.9%
 
159896.3%
 
2983510.3%
 
388439.3%
 
472617.6%
 
ValueCountFrequency (%) 
992< 0.1%
 
621< 0.1%
 
555< 0.1%
 
542< 0.1%
 
521< 0.1%
 

IC21
Real number (ℝ≥0)

ZEROS

Distinct43
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.602618119
Minimum0
Maximum50
Zeros39568
Zeros (%)41.5%
Memory size745.4 KiB
2020-12-15T13:44:08.433972image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile11
Maximum50
Range50
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.90719427
Coefficient of variation (CV)1.50125531
Kurtosis7.830040005
Mean2.602618119
Median Absolute Deviation (MAD)1
Skewness2.411585969
Sum248321
Variance15.26616707
MonotocityNot monotonic
2020-12-15T13:44:08.585059image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%) 
03956841.5%
 
11393414.6%
 
21075411.3%
 
373717.7%
 
451455.4%
 
535363.7%
 
627042.8%
 
723992.5%
 
818371.9%
 
915231.6%
 
Other values (33)66417.0%
 
ValueCountFrequency (%) 
03956841.5%
 
11393414.6%
 
21075411.3%
 
373717.7%
 
451455.4%
 
ValueCountFrequency (%) 
502< 0.1%
 
462< 0.1%
 
421< 0.1%
 
402< 0.1%
 
383< 0.1%
 

IC22
Real number (ℝ≥0)

ZEROS

Distinct36
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.122699451
Minimum0
Maximum99
Zeros61356
Zeros (%)64.3%
Memory size745.4 KiB
2020-12-15T13:44:08.729703image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile6
Maximum99
Range99
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.321725988
Coefficient of variation (CV)2.067985324
Kurtosis85.74050977
Mean1.122699451
Median Absolute Deviation (MAD)0
Skewness4.905121126
Sum107119
Variance5.390411562
MonotocityNot monotonic
2020-12-15T13:44:08.873423image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%) 
06135664.3%
 
11186112.4%
 
275137.9%
 
344794.7%
 
429223.1%
 
520672.2%
 
615011.6%
 
710511.1%
 
87110.7%
 
95800.6%
 
Other values (26)13711.4%
 
ValueCountFrequency (%) 
06135664.3%
 
11186112.4%
 
275137.9%
 
344794.7%
 
429223.1%
 
ValueCountFrequency (%) 
992< 0.1%
 
521< 0.1%
 
461< 0.1%
 
384< 0.1%
 
332< 0.1%
 

IC23
Real number (ℝ≥0)

ZEROS

Distinct75
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.28186182
Minimum0
Maximum99
Zeros52706
Zeros (%)55.2%
Memory size745.4 KiB
2020-12-15T13:44:09.029380image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile11
Maximum99
Range99
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.531296835
Coefficient of variation (CV)2.424027952
Kurtosis36.30288556
Mean2.28186182
Median Absolute Deviation (MAD)0
Skewness5.140495678
Sum217717
Variance30.59524468
MonotocityNot monotonic
2020-12-15T13:44:09.187013image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
05270655.2%
 
11303413.7%
 
283938.8%
 
350785.3%
 
434233.6%
 
522642.4%
 
617891.9%
 
712931.4%
 
89361.0%
 
98540.9%
 
Other values (65)56425.9%
 
ValueCountFrequency (%) 
05270655.2%
 
11303413.7%
 
283938.8%
 
350785.3%
 
434233.6%
 
ValueCountFrequency (%) 
993< 0.1%
 
871< 0.1%
 
731< 0.1%
 
721< 0.1%
 
704< 0.1%
 

HHAS1
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.76335262
Minimum0
Maximum99
Zeros1179
Zeros (%)1.2%
Memory size745.4 KiB
2020-12-15T13:44:09.346290image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q117
median26
Q334
95-th percentile50
Maximum99
Range99
Interquartile range (IQR)17

Descriptive statistics

Standard deviation13.86488376
Coefficient of variation (CV)0.5180548175
Kurtosis2.181554344
Mean26.76335262
Median Absolute Deviation (MAD)9
Skewness0.9474102143
Sum2553545
Variance192.2350016
MonotocityNot monotonic
2020-12-15T13:44:09.503710image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2929793.1%
 
2429593.1%
 
2629403.1%
 
2829133.1%
 
2328613.0%
 
2128553.0%
 
2228463.0%
 
2728403.0%
 
2528333.0%
 
3127912.9%
 
Other values (90)6659569.8%
 
ValueCountFrequency (%) 
011791.2%
 
11490.2%
 
22570.3%
 
34180.4%
 
46110.6%
 
ValueCountFrequency (%) 
9918< 0.1%
 
982< 0.1%
 
973< 0.1%
 
969< 0.1%
 
955< 0.1%
 

HHAS2
Real number (ℝ≥0)

ZEROS

Distinct72
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.10250283
Minimum0
Maximum99
Zeros10154
Zeros (%)10.6%
Memory size745.4 KiB
2020-12-15T13:44:09.662770image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q38
95-th percentile18
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.215594232
Coefficient of variation (CV)1.018531971
Kurtosis12.74717959
Mean6.10250283
Median Absolute Deviation (MAD)3
Skewness2.607247587
Sum582252
Variance38.63361166
MonotocityNot monotonic
2020-12-15T13:44:09.815710image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
21101111.5%
 
31046811.0%
 
01015410.6%
 
493399.8%
 
579638.3%
 
172627.6%
 
666777.0%
 
756135.9%
 
847044.9%
 
936033.8%
 
Other values (62)1861819.5%
 
ValueCountFrequency (%) 
01015410.6%
 
172627.6%
 
21101111.5%
 
31046811.0%
 
493399.8%
 
ValueCountFrequency (%) 
995< 0.1%
 
861< 0.1%
 
802< 0.1%
 
771< 0.1%
 
762< 0.1%
 

HHAS3
Real number (ℝ≥0)

ZEROS

Distinct99
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.96297111
Minimum0
Maximum99
Zeros1041
Zeros (%)1.1%
Memory size745.4 KiB
2020-12-15T13:44:09.970907image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q131
median43
Q355
95-th percentile71
Maximum99
Range99
Interquartile range (IQR)24

Descriptive statistics

Standard deviation17.05434734
Coefficient of variation (CV)0.3969545611
Kurtosis-0.2398378802
Mean42.96297111
Median Absolute Deviation (MAD)12
Skewness0.02128315528
Sum4099183
Variance290.8507633
MonotocityNot monotonic
2020-12-15T13:44:10.125953image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4422432.4%
 
4321952.3%
 
4221892.3%
 
4921282.2%
 
4621272.2%
 
4121202.2%
 
4721122.2%
 
4021012.2%
 
4820772.2%
 
3920752.2%
 
Other values (89)7404577.6%
 
ValueCountFrequency (%) 
010411.1%
 
120< 0.1%
 
2610.1%
 
3750.1%
 
41100.1%
 
ValueCountFrequency (%) 
9930< 0.1%
 
976< 0.1%
 
961< 0.1%
 
959< 0.1%
 
9427< 0.1%
 

HHAS4
Real number (ℝ≥0)

ZEROS

Distinct93
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.74090261
Minimum0
Maximum99
Zeros4357
Zeros (%)4.6%
Memory size745.4 KiB
2020-12-15T13:44:10.282404image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median8
Q315
95-th percentile30
Maximum99
Range99
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.967408636
Coefficient of variation (CV)0.927986129
Kurtosis5.578383254
Mean10.74090261
Median Absolute Deviation (MAD)5
Skewness1.920399315
Sum1024811
Variance99.34923493
MonotocityNot monotonic
2020-12-15T13:44:10.440065image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
366316.9%
 
465376.9%
 
562766.6%
 
262226.5%
 
652815.5%
 
151955.4%
 
750875.3%
 
845484.8%
 
943614.6%
 
043574.6%
 
Other values (83)4091742.9%
 
ValueCountFrequency (%) 
043574.6%
 
151955.4%
 
262226.5%
 
366316.9%
 
465376.9%
 
ValueCountFrequency (%) 
997< 0.1%
 
931< 0.1%
 
922< 0.1%
 
912< 0.1%
 
891< 0.1%
 

MC1
Real number (ℝ≥0)

Distinct99
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.36197753
Minimum0
Maximum99
Zeros883
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:44:10.598021image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26
Q138
median47
Q358
95-th percentile77
Maximum99
Range99
Interquartile range (IQR)20

Descriptive statistics

Standard deviation15.97653535
Coefficient of variation (CV)0.3303532271
Kurtosis0.5006098382
Mean48.36197753
Median Absolute Deviation (MAD)10
Skewness0.3008891376
Sum4614313
Variance255.2496817
MonotocityNot monotonic
2020-12-15T13:44:10.756317image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
4126542.8%
 
4426372.8%
 
4326332.8%
 
4626282.8%
 
4025782.7%
 
4825742.7%
 
3925692.7%
 
4225542.7%
 
4725482.7%
 
4525082.6%
 
Other values (89)6952972.9%
 
ValueCountFrequency (%) 
08830.9%
 
11< 0.1%
 
32< 0.1%
 
41< 0.1%
 
54< 0.1%
 
ValueCountFrequency (%) 
99990.1%
 
98950.1%
 
97800.1%
 
961250.1%
 
95980.1%
 

MC2
Real number (ℝ≥0)

Distinct99
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.74688718
Minimum0
Maximum99
Zeros923
Zeros (%)1.0%
Memory size745.4 KiB
2020-12-15T13:44:10.914671image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21
Q141
median53
Q362
95-th percentile73
Maximum99
Range99
Interquartile range (IQR)21

Descriptive statistics

Standard deviation16.04460685
Coefficient of variation (CV)0.3161692812
Kurtosis0.4976848871
Mean50.74688718
Median Absolute Deviation (MAD)10
Skewness-0.6734334372
Sum4841862
Variance257.4294088
MonotocityNot monotonic
2020-12-15T13:44:11.071237image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
5926622.8%
 
5626372.8%
 
5726232.7%
 
5426192.7%
 
5225772.7%
 
6125712.7%
 
6025632.7%
 
5825582.7%
 
5325512.7%
 
5525122.6%
 
Other values (89)6953972.9%
 
ValueCountFrequency (%) 
09231.0%
 
127< 0.1%
 
2950.1%
 
3800.1%
 
41250.1%
 
ValueCountFrequency (%) 
9933< 0.1%
 
972< 0.1%
 
961< 0.1%
 
954< 0.1%
 
9410< 0.1%
 

MC3
Real number (ℝ≥0)

ZEROS

Distinct98
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.27618119
Minimum0
Maximum99
Zeros2815
Zeros (%)3.0%
Memory size745.4 KiB
2020-12-15T13:44:11.227749image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median10
Q317
95-th percentile32
Maximum99
Range99
Interquartile range (IQR)12

Descriptive statistics

Standard deviation10.25513958
Coefficient of variation (CV)0.8353688677
Kurtosis6.206683228
Mean12.27618119
Median Absolute Deviation (MAD)5
Skewness1.918636418
Sum1171295
Variance105.1678879
MonotocityNot monotonic
2020-12-15T13:44:11.385803image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
562936.6%
 
659136.2%
 
457086.0%
 
756615.9%
 
854285.7%
 
348585.1%
 
947425.0%
 
1044604.7%
 
1141334.3%
 
236923.9%
 
Other values (88)4452446.7%
 
ValueCountFrequency (%) 
028153.0%
 
125002.6%
 
236923.9%
 
348585.1%
 
457086.0%
 
ValueCountFrequency (%) 
996< 0.1%
 
963< 0.1%
 
954< 0.1%
 
943< 0.1%
 
931< 0.1%
 

TPE1
Real number (ℝ≥0)

Distinct99
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.09559594
Minimum0
Maximum99
Zeros926
Zeros (%)1.0%
Memory size745.4 KiB
2020-12-15T13:44:11.545072image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile54
Q172
median79
Q384
95-th percentile90
Maximum99
Range99
Interquartile range (IQR)12

Descriptive statistics

Standard deviation13.28965894
Coefficient of variation (CV)0.1746442586
Kurtosis10.60979648
Mean76.09559594
Median Absolute Deviation (MAD)6
Skewness-2.561128064
Sum7260433
Variance176.6150346
MonotocityNot monotonic
2020-12-15T13:44:12.715868image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
8145804.8%
 
8244184.6%
 
8043924.6%
 
8342804.5%
 
7942484.5%
 
7841334.3%
 
8441024.3%
 
8540384.2%
 
7638454.0%
 
7737754.0%
 
Other values (89)5360156.2%
 
ValueCountFrequency (%) 
09261.0%
 
22< 0.1%
 
33< 0.1%
 
42< 0.1%
 
512< 0.1%
 
ValueCountFrequency (%) 
992740.3%
 
98680.1%
 
971100.1%
 
962000.2%
 
953340.4%
 

TPE2
Real number (ℝ≥0)

ZEROS

Distinct70
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.99749507
Minimum0
Maximum99
Zeros2320
Zeros (%)2.4%
Memory size745.4 KiB
2020-12-15T13:44:12.870086image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median12
Q317
95-th percentile25
Maximum99
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.697763121
Coefficient of variation (CV)0.5153118415
Kurtosis3.83319606
Mean12.99749507
Median Absolute Deviation (MAD)4
Skewness1.003132118
Sum1240117
Variance44.86003083
MonotocityNot monotonic
2020-12-15T13:44:13.027826image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1167847.1%
 
1265556.9%
 
1364206.7%
 
1063896.7%
 
958146.1%
 
1456986.0%
 
853075.6%
 
1552425.5%
 
1645924.8%
 
745834.8%
 
Other values (60)3802839.9%
 
ValueCountFrequency (%) 
023202.4%
 
12530.3%
 
28620.9%
 
313871.5%
 
420182.1%
 
ValueCountFrequency (%) 
995< 0.1%
 
841< 0.1%
 
811< 0.1%
 
771< 0.1%
 
761< 0.1%
 

TPE3
Real number (ℝ≥0)

ZEROS

Distinct72
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.398922567
Minimum0
Maximum99
Zeros50524
Zeros (%)53.0%
Memory size745.4 KiB
2020-12-15T13:44:13.196900image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile12
Maximum99
Range99
Interquartile range (IQR)2

Descriptive statistics

Standard deviation5.590967147
Coefficient of variation (CV)2.330615929
Kurtosis29.57066715
Mean2.398922567
Median Absolute Deviation (MAD)0
Skewness4.69526502
Sum228886
Variance31.25891364
MonotocityNot monotonic
2020-12-15T13:44:13.353311image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
05052453.0%
 
11492415.6%
 
281258.5%
 
349505.2%
 
432373.4%
 
524902.6%
 
616721.8%
 
713001.4%
 
811051.2%
 
98830.9%
 
Other values (62)62026.5%
 
ValueCountFrequency (%) 
05052453.0%
 
11492415.6%
 
281258.5%
 
349505.2%
 
432373.4%
 
ValueCountFrequency (%) 
992< 0.1%
 
821< 0.1%
 
792< 0.1%
 
751< 0.1%
 
731< 0.1%
 

TPE4
Real number (ℝ≥0)

ZEROS

Distinct67
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.832421498
Minimum0
Maximum99
Zeros56252
Zeros (%)59.0%
Memory size745.4 KiB
2020-12-15T13:44:13.512600image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile9
Maximum99
Range99
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.577516717
Coefficient of variation (CV)2.498069752
Kurtosis38.75546645
Mean1.832421498
Median Absolute Deviation (MAD)0
Skewness5.192693389
Sum174835
Variance20.9536593
MonotocityNot monotonic
2020-12-15T13:44:13.671532image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
05625259.0%
 
11426915.0%
 
274247.8%
 
342534.5%
 
428132.9%
 
520532.2%
 
613431.4%
 
710011.0%
 
88510.9%
 
96310.7%
 
Other values (57)45224.7%
 
ValueCountFrequency (%) 
05625259.0%
 
11426915.0%
 
274247.8%
 
342534.5%
 
428132.9%
 
ValueCountFrequency (%) 
992< 0.1%
 
821< 0.1%
 
792< 0.1%
 
751< 0.1%
 
631< 0.1%
 

TPE5
Real number (ℝ≥0)

ZEROS

Distinct50
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4548065233
Minimum0
Maximum71
Zeros87266
Zeros (%)91.5%
Memory size745.4 KiB
2020-12-15T13:44:13.829491image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum71
Range71
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.197904918
Coefficient of variation (CV)4.832615201
Kurtosis91.7624361
Mean0.4548065233
Median Absolute Deviation (MAD)0
Skewness7.929284415
Sum43394
Variance4.830786028
MonotocityNot monotonic
2020-12-15T13:44:13.978259image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
08726691.5%
 
121392.2%
 
211511.2%
 
38730.9%
 
46280.7%
 
55880.6%
 
64470.5%
 
73750.4%
 
82960.3%
 
92920.3%
 
Other values (40)13571.4%
 
ValueCountFrequency (%) 
08726691.5%
 
121392.2%
 
211511.2%
 
38730.9%
 
46280.7%
 
ValueCountFrequency (%) 
711< 0.1%
 
551< 0.1%
 
501< 0.1%
 
462< 0.1%
 
451< 0.1%
 

TPE6
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1018949398
Minimum0
Maximum47
Zeros90483
Zeros (%)94.8%
Memory size745.4 KiB
2020-12-15T13:44:14.119899image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum47
Range47
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7347573284
Coefficient of variation (CV)7.21093049
Kurtosis888.3383623
Mean0.1018949398
Median Absolute Deviation (MAD)0
Skewness23.02196117
Sum9722
Variance0.5398683317
MonotocityNot monotonic
2020-12-15T13:44:14.242876image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
09048394.8%
 
130773.2%
 
29911.0%
 
33740.4%
 
41710.2%
 
5850.1%
 
6590.1%
 
8520.1%
 
734< 0.1%
 
1117< 0.1%
 
Other values (17)690.1%
 
ValueCountFrequency (%) 
09048394.8%
 
130773.2%
 
29911.0%
 
33740.4%
 
41710.2%
 
ValueCountFrequency (%) 
472< 0.1%
 
309< 0.1%
 
291< 0.1%
 
281< 0.1%
 
275< 0.1%
 

TPE7
Real number (ℝ≥0)

ZEROS

Distinct18
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2390474993
Minimum0
Maximum25
Zeros80140
Zeros (%)84.0%
Memory size745.4 KiB
2020-12-15T13:44:14.356552image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum25
Range25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.6955118437
Coefficient of variation (CV)2.909513154
Kurtosis104.7621128
Mean0.2390474993
Median Absolute Deviation (MAD)0
Skewness6.477159389
Sum22808
Variance0.4837367247
MonotocityNot monotonic
2020-12-15T13:44:14.474107image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%) 
08014084.0%
 
11067711.2%
 
229893.1%
 
39881.0%
 
43400.4%
 
51420.1%
 
6520.1%
 
736< 0.1%
 
815< 0.1%
 
98< 0.1%
 
Other values (8)25< 0.1%
 
ValueCountFrequency (%) 
08014084.0%
 
11067711.2%
 
229893.1%
 
39881.0%
 
43400.4%
 
ValueCountFrequency (%) 
252< 0.1%
 
222< 0.1%
 
202< 0.1%
 
163< 0.1%
 
131< 0.1%
 

TPE8
Real number (ℝ≥0)

ZEROS

Distinct83
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.071332746
Minimum0
Maximum99
Zeros15711
Zeros (%)16.5%
Memory size745.4 KiB
2020-12-15T13:44:14.611934image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35
95-th percentile13
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.492787945
Coefficient of variation (CV)1.349137564
Kurtosis40.01622735
Mean4.071332746
Median Absolute Deviation (MAD)2
Skewness4.804961636
Sum388454
Variance30.17071941
MonotocityNot monotonic
2020-12-15T13:44:14.768990image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
21577916.5%
 
01571116.5%
 
11406814.7%
 
31259013.2%
 
4955110.0%
 
564116.7%
 
647495.0%
 
735483.7%
 
826112.7%
 
920042.1%
 
Other values (73)83908.8%
 
ValueCountFrequency (%) 
01571116.5%
 
11406814.7%
 
21577916.5%
 
31259013.2%
 
4955110.0%
 
ValueCountFrequency (%) 
997< 0.1%
 
961< 0.1%
 
912< 0.1%
 
902< 0.1%
 
851< 0.1%
 

TPE9
Real number (ℝ≥0)

ZEROS

Distinct56
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.253961766
Minimum0
Maximum99
Zeros16912
Zeros (%)17.7%
Memory size745.4 KiB
2020-12-15T13:44:14.926936image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile9
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.687820131
Coefficient of variation (CV)1.133332349
Kurtosis61.51942627
Mean3.253961766
Median Absolute Deviation (MAD)2
Skewness4.649519831
Sum310467
Variance13.60001732
MonotocityNot monotonic
2020-12-15T13:44:15.083710image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
21784918.7%
 
01691217.7%
 
31452015.2%
 
11410114.8%
 
4995710.4%
 
565806.9%
 
644304.6%
 
729523.1%
 
820902.2%
 
913811.4%
 
Other values (46)46404.9%
 
ValueCountFrequency (%) 
01691217.7%
 
11410114.8%
 
21784918.7%
 
31452015.2%
 
4995710.4%
 
ValueCountFrequency (%) 
999< 0.1%
 
591< 0.1%
 
583< 0.1%
 
561< 0.1%
 
552< 0.1%
 

PEC1
Real number (ℝ≥0)

ZEROS

Distinct82
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.267586886
Minimum0
Maximum99
Zeros44833
Zeros (%)47.0%
Memory size745.4 KiB
2020-12-15T13:44:15.243240image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile9
Maximum99
Range99
Interquartile range (IQR)2

Descriptive statistics

Standard deviation6.235675004
Coefficient of variation (CV)2.749916681
Kurtosis43.06078328
Mean2.267586886
Median Absolute Deviation (MAD)1
Skewness5.914516104
Sum216355
Variance38.88364276
MonotocityNot monotonic
2020-12-15T13:44:15.401885image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
04483347.0%
 
12204523.1%
 
21128711.8%
 
353405.6%
 
428032.9%
 
516011.7%
 
610451.1%
 
77410.8%
 
85780.6%
 
94160.4%
 
Other values (72)47235.0%
 
ValueCountFrequency (%) 
04483347.0%
 
12204523.1%
 
21128711.8%
 
353405.6%
 
428032.9%
 
ValueCountFrequency (%) 
991< 0.1%
 
831< 0.1%
 
813< 0.1%
 
802< 0.1%
 
792< 0.1%
 

PEC2
Real number (ℝ≥0)

ZEROS

Distinct99
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.29984698
Minimum0
Maximum99
Zeros7250
Zeros (%)7.6%
Memory size745.4 KiB
2020-12-15T13:44:15.561607image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median11
Q327
95-th percentile60
Maximum99
Range99
Interquartile range (IQR)23

Descriptive statistics

Standard deviation19.05758007
Coefficient of variation (CV)1.041406526
Kurtosis1.245659897
Mean18.29984698
Median Absolute Deviation (MAD)9
Skewness1.369431241
Sum1746025
Variance363.1913582
MonotocityNot monotonic
2020-12-15T13:44:15.715953image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
072507.6%
 
350905.3%
 
250735.3%
 
444874.7%
 
542744.5%
 
138704.1%
 
638434.0%
 
735403.7%
 
833623.5%
 
929833.1%
 
Other values (89)5164054.1%
 
ValueCountFrequency (%) 
072507.6%
 
138704.1%
 
250735.3%
 
350905.3%
 
444874.7%
 
ValueCountFrequency (%) 
9910< 0.1%
 
972< 0.1%
 
967< 0.1%
 
957< 0.1%
 
949< 0.1%
 

TPE10
Real number (ℝ≥0)

Distinct67
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.48037983
Minimum0
Maximum90
Zeros794
Zeros (%)0.8%
Memory size745.4 KiB
2020-12-15T13:44:15.872537image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q115
median19
Q323
95-th percentile31
Maximum90
Range90
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.772796502
Coefficient of variation (CV)0.3476727129
Kurtosis14.21508801
Mean19.48037983
Median Absolute Deviation (MAD)4
Skewness1.604908454
Sum1858662
Variance45.87077246
MonotocityNot monotonic
2020-12-15T13:44:16.022387image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1871017.4%
 
1969797.3%
 
2166116.9%
 
2065716.9%
 
1764816.8%
 
2262066.5%
 
2355425.8%
 
1652695.5%
 
1445864.8%
 
2445854.8%
 
Other values (57)3548137.2%
 
ValueCountFrequency (%) 
07940.8%
 
14< 0.1%
 
23< 0.1%
 
318< 0.1%
 
441< 0.1%
 
ValueCountFrequency (%) 
901110.1%
 
751< 0.1%
 
731< 0.1%
 
653< 0.1%
 
641< 0.1%
 

TPE11
Real number (ℝ≥0)

Distinct62
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.72367207
Minimum0
Maximum76
Zeros893
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:44:16.176871image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14
Q119
median23
Q328
95-th percentile35
Maximum76
Range76
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.630089972
Coefficient of variation (CV)0.2794714895
Kurtosis1.558397514
Mean23.72367207
Median Absolute Deviation (MAD)4
Skewness0.1193464581
Sum2263523
Variance43.95809303
MonotocityNot monotonic
2020-12-15T13:44:16.329221image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2363666.7%
 
2263396.6%
 
2161406.4%
 
2461306.4%
 
2057906.1%
 
2557246.0%
 
2653395.6%
 
1951225.4%
 
2747575.0%
 
1844994.7%
 
Other values (52)3920641.1%
 
ValueCountFrequency (%) 
08930.9%
 
34< 0.1%
 
55< 0.1%
 
63< 0.1%
 
729< 0.1%
 
ValueCountFrequency (%) 
761< 0.1%
 
751< 0.1%
 
711< 0.1%
 
641< 0.1%
 
611< 0.1%
 

TPE12
Real number (ℝ≥0)

ZEROS

Distinct59
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.306324152
Minimum0
Maximum99
Zeros11550
Zeros (%)12.1%
Memory size745.4 KiB
2020-12-15T13:44:16.493847image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q37
95-th percentile16
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.343131746
Coefficient of variation (CV)1.006936552
Kurtosis10.1624143
Mean5.306324152
Median Absolute Deviation (MAD)2
Skewness2.39229147
Sum506287
Variance28.54905686
MonotocityNot monotonic
2020-12-15T13:44:16.649057image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
21233412.9%
 
31223912.8%
 
01155012.1%
 
41044010.9%
 
581048.5%
 
175978.0%
 
664666.8%
 
749925.2%
 
839294.1%
 
930353.2%
 
Other values (49)1472615.4%
 
ValueCountFrequency (%) 
01155012.1%
 
175978.0%
 
21233412.9%
 
31223912.8%
 
41044010.9%
 
ValueCountFrequency (%) 
991< 0.1%
 
851< 0.1%
 
671< 0.1%
 
581< 0.1%
 
573< 0.1%
 

TPE13
Real number (ℝ≥0)

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.04200729
Minimum0
Maximum99
Zeros941
Zeros (%)1.0%
Memory size745.4 KiB
2020-12-15T13:44:16.805783image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile27
Q150
median64
Q373
95-th percentile82
Maximum99
Range99
Interquartile range (IQR)23

Descriptive statistics

Standard deviation17.40141225
Coefficient of variation (CV)0.2898206278
Kurtosis0.6974825508
Mean60.04200729
Median Absolute Deviation (MAD)11
Skewness-0.891027666
Sum5728728
Variance302.8091482
MonotocityNot monotonic
2020-12-15T13:44:16.961796image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
7226952.8%
 
7126682.8%
 
7026652.8%
 
7426402.8%
 
6926292.8%
 
6825842.7%
 
7325762.7%
 
6725682.7%
 
6625392.7%
 
6524682.6%
 
Other values (90)6938072.7%
 
ValueCountFrequency (%) 
09411.0%
 
11< 0.1%
 
25< 0.1%
 
37< 0.1%
 
47< 0.1%
 
ValueCountFrequency (%) 
991040.1%
 
986< 0.1%
 
9712< 0.1%
 
9621< 0.1%
 
9527< 0.1%
 

LFC1
Real number (ℝ≥0)

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.5315998
Minimum0
Maximum99
Zeros879
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:44:17.119337image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile42
Q159
median66
Q373
95-th percentile82
Maximum99
Range99
Interquartile range (IQR)14

Descriptive statistics

Standard deviation13.60157867
Coefficient of variation (CV)0.2107739264
Kurtosis5.074255158
Mean64.5315998
Median Absolute Deviation (MAD)7
Skewness-1.636841589
Sum6157089
Variance185.0029423
MonotocityNot monotonic
2020-12-15T13:44:17.279161image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6636153.8%
 
6836073.8%
 
6736013.8%
 
6535693.7%
 
7034483.6%
 
6934253.6%
 
6334013.6%
 
6433963.6%
 
7133603.5%
 
7233593.5%
 
Other values (90)6063163.5%
 
ValueCountFrequency (%) 
08790.9%
 
11< 0.1%
 
28< 0.1%
 
35< 0.1%
 
410< 0.1%
 
ValueCountFrequency (%) 
9935< 0.1%
 
987< 0.1%
 
977< 0.1%
 
969< 0.1%
 
959< 0.1%
 

LFC2
Real number (ℝ≥0)

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.852681
Minimum0
Maximum99
Zeros907
Zeros (%)1.0%
Memory size745.4 KiB
2020-12-15T13:44:17.439835image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile48
Q169
median76
Q383
95-th percentile91
Maximum99
Range99
Interquartile range (IQR)14

Descriptive statistics

Standard deviation14.64340585
Coefficient of variation (CV)0.1982785954
Kurtosis6.917816397
Mean73.852681
Median Absolute Deviation (MAD)7
Skewness-2.067996003
Sum7046432
Variance214.429335
MonotocityNot monotonic
2020-12-15T13:44:17.600209image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
7837243.9%
 
7636873.9%
 
8036703.8%
 
7936553.8%
 
7736213.8%
 
8135773.7%
 
7534103.6%
 
8233953.6%
 
7433053.5%
 
8332993.5%
 
Other values (90)6006963.0%
 
ValueCountFrequency (%) 
09071.0%
 
12< 0.1%
 
25< 0.1%
 
32< 0.1%
 
45< 0.1%
 
ValueCountFrequency (%) 
992360.2%
 
981230.1%
 
972310.2%
 
963320.3%
 
954370.5%
 

LFC3
Real number (ℝ≥0)

Distinct99
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.02383348
Minimum0
Maximum99
Zeros917
Zeros (%)1.0%
Memory size745.4 KiB
2020-12-15T13:44:17.761795image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33
Q149
median57
Q365
95-th percentile76
Maximum99
Range99
Interquartile range (IQR)16

Descriptive statistics

Standard deviation13.74190387
Coefficient of variation (CV)0.2452867471
Kurtosis2.482888214
Mean56.02383348
Median Absolute Deviation (MAD)8
Skewness-0.9630481004
Sum5345346
Variance188.839922
MonotocityNot monotonic
2020-12-15T13:44:17.921217image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
5833873.5%
 
5733043.5%
 
5933023.5%
 
5631873.3%
 
5531473.3%
 
6231443.3%
 
6130903.2%
 
5430783.2%
 
6029833.1%
 
5328443.0%
 
Other values (89)6394667.0%
 
ValueCountFrequency (%) 
09171.0%
 
216< 0.1%
 
311< 0.1%
 
444< 0.1%
 
5610.1%
 
ValueCountFrequency (%) 
9943< 0.1%
 
981< 0.1%
 
975< 0.1%
 
965< 0.1%
 
958< 0.1%
 

LFC4
Real number (ℝ≥0)

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.80198508
Minimum0
Maximum99
Zeros917
Zeros (%)1.0%
Memory size745.4 KiB
2020-12-15T13:44:18.081693image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile43
Q163
median72
Q379
95-th percentile88
Maximum99
Range99
Interquartile range (IQR)16

Descriptive statistics

Standard deviation14.98311785
Coefficient of variation (CV)0.2146517442
Kurtosis4.824197105
Mean69.80198508
Median Absolute Deviation (MAD)8
Skewness-1.688684055
Sum6659947
Variance224.4938205
MonotocityNot monotonic
2020-12-15T13:44:18.240133image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
7534643.6%
 
7634363.6%
 
7433133.5%
 
7733093.5%
 
7332923.5%
 
7232913.4%
 
7832283.4%
 
7931773.3%
 
7031283.3%
 
7131213.3%
 
Other values (90)6265365.7%
 
ValueCountFrequency (%) 
09171.0%
 
12< 0.1%
 
22< 0.1%
 
32< 0.1%
 
45< 0.1%
 
ValueCountFrequency (%) 
991390.1%
 
98490.1%
 
971080.1%
 
961270.1%
 
951950.2%
 

LFC5
Real number (ℝ≥0)

Distinct98
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.95529912
Minimum0
Maximum99
Zeros927
Zeros (%)1.0%
Memory size745.4 KiB
2020-12-15T13:44:18.400204image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30
Q145
median54
Q362
95-th percentile73
Maximum99
Range99
Interquartile range (IQR)17

Descriptive statistics

Standard deviation13.74230907
Coefficient of variation (CV)0.2595077225
Kurtosis1.824834973
Mean52.95529912
Median Absolute Deviation (MAD)8
Skewness-0.792761606
Sum5052571
Variance188.8510586
MonotocityNot monotonic
2020-12-15T13:44:18.556923image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
5531903.3%
 
5331713.3%
 
5431453.3%
 
5630993.2%
 
5730573.2%
 
5929743.1%
 
5029463.1%
 
5229413.1%
 
5829043.0%
 
6028563.0%
 
Other values (88)6512968.3%
 
ValueCountFrequency (%) 
09271.0%
 
220< 0.1%
 
316< 0.1%
 
4540.1%
 
5710.1%
 
ValueCountFrequency (%) 
9937< 0.1%
 
971< 0.1%
 
965< 0.1%
 
953< 0.1%
 
944< 0.1%
 

LFC6
Real number (ℝ≥0)

ZEROS

Distinct98
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.11079319
Minimum0
Maximum99
Zeros1937
Zeros (%)2.0%
Memory size745.4 KiB
2020-12-15T13:44:18.715806image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile37
Q157
median66
Q374
95-th percentile86
Maximum99
Range99
Interquartile range (IQR)17

Descriptive statistics

Standard deviation16.39004109
Coefficient of variation (CV)0.255651822
Kurtosis3.471450244
Mean64.11079319
Median Absolute Deviation (MAD)9
Skewness-1.250987632
Sum6116939
Variance268.6334469
MonotocityNot monotonic
2020-12-15T13:44:18.873154image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6831523.3%
 
6930943.2%
 
6530763.2%
 
6729723.1%
 
7029553.1%
 
7129283.1%
 
6428953.0%
 
6328683.0%
 
6628633.0%
 
7228393.0%
 
Other values (88)6577068.9%
 
ValueCountFrequency (%) 
019372.0%
 
31< 0.1%
 
41< 0.1%
 
52< 0.1%
 
64< 0.1%
 
ValueCountFrequency (%) 
9915131.6%
 
986< 0.1%
 
9715< 0.1%
 
96550.1%
 
951090.1%
 

LFC7
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.79856831
Minimum0
Maximum99
Zeros2525
Zeros (%)2.6%
Memory size745.4 KiB
2020-12-15T13:44:19.030480image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17
Q140
median50
Q360
95-th percentile74
Maximum99
Range99
Interquartile range (IQR)20

Descriptive statistics

Standard deviation17.28241317
Coefficient of variation (CV)0.354158201
Kurtosis0.7845203861
Mean48.79856831
Median Absolute Deviation (MAD)10
Skewness-0.4829581022
Sum4655969
Variance298.6818049
MonotocityNot monotonic
2020-12-15T13:44:19.184938image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
5527042.8%
 
5226592.8%
 
5026382.8%
 
5326002.7%
 
5425352.7%
 
5125302.7%
 
025252.6%
 
4825152.6%
 
5624682.6%
 
4724412.6%
 
Other values (90)6979773.2%
 
ValueCountFrequency (%) 
025252.6%
 
18< 0.1%
 
220< 0.1%
 
338< 0.1%
 
4590.1%
 
ValueCountFrequency (%) 
994060.4%
 
981< 0.1%
 
978< 0.1%
 
9617< 0.1%
 
9532< 0.1%
 

LFC8
Real number (ℝ≥0)

ZEROS

Distinct98
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.10241898
Minimum0
Maximum99
Zeros9313
Zeros (%)9.8%
Memory size745.4 KiB
2020-12-15T13:44:19.342050image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q155
median78
Q399
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)44

Descriptive statistics

Standard deviation30.76815271
Coefficient of variation (CV)0.4389028675
Kurtosis0.1566214747
Mean70.10241898
Median Absolute Deviation (MAD)21
Skewness-1.067703981
Sum6688612
Variance946.6792211
MonotocityNot monotonic
2020-12-15T13:44:19.498861image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
992825629.6%
 
093139.8%
 
8113551.4%
 
7613321.4%
 
8813121.4%
 
7913041.4%
 
7812981.4%
 
7112791.3%
 
8312621.3%
 
7212251.3%
 
Other values (88)4747649.8%
 
ValueCountFrequency (%) 
093139.8%
 
32< 0.1%
 
44< 0.1%
 
58< 0.1%
 
67< 0.1%
 
ValueCountFrequency (%) 
992825629.6%
 
981530.2%
 
972900.3%
 
963980.4%
 
955390.6%
 

LFC9
Real number (ℝ≥0)

ZEROS

Distinct96
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.66276779
Minimum0
Maximum99
Zeros30500
Zeros (%)32.0%
Memory size745.4 KiB
2020-12-15T13:44:19.655239image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median97
Q399
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)99

Descriptive statistics

Standard deviation44.72085019
Coefficient of variation (CV)0.7136749902
Kurtosis-1.532181118
Mean62.66276779
Median Absolute Deviation (MAD)2
Skewness-0.6011122823
Sum5978780
Variance1999.954441
MonotocityNot monotonic
2020-12-15T13:44:19.818123image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
994694249.2%
 
03050032.0%
 
895970.6%
 
925510.6%
 
935480.6%
 
885430.6%
 
945120.5%
 
865060.5%
 
914920.5%
 
904880.5%
 
Other values (86)1373314.4%
 
ValueCountFrequency (%) 
03050032.0%
 
41< 0.1%
 
54< 0.1%
 
66< 0.1%
 
76< 0.1%
 
ValueCountFrequency (%) 
994694249.2%
 
983600.4%
 
974480.5%
 
964540.5%
 
954020.4%
 

LFC10
Real number (ℝ≥0)

ZEROS

Distinct91
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.636376976
Minimum0
Maximum99
Zeros28122
Zeros (%)29.5%
Memory size745.4 KiB
2020-12-15T13:44:19.976575image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q39
95-th percentile24
Maximum99
Range99
Interquartile range (IQR)9

Descriptive statistics

Standard deviation9.249520002
Coefficient of variation (CV)1.393760486
Kurtosis17.87436086
Mean6.636376976
Median Absolute Deviation (MAD)4
Skewness3.247579088
Sum633190
Variance85.55362026
MonotocityNot monotonic
2020-12-15T13:44:20.133429image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02812229.5%
 
266276.9%
 
365106.8%
 
460196.3%
 
551955.4%
 
146954.9%
 
646904.9%
 
743004.5%
 
834523.6%
 
931123.3%
 
Other values (81)2269023.8%
 
ValueCountFrequency (%) 
02812229.5%
 
146954.9%
 
266276.9%
 
365106.8%
 
460196.3%
 
ValueCountFrequency (%) 
99900.1%
 
952< 0.1%
 
911< 0.1%
 
905< 0.1%
 
891< 0.1%
 

OCC1
Real number (ℝ≥0)

ZEROS

Distinct70
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.12276234
Minimum0
Maximum99
Zeros2169
Zeros (%)2.3%
Memory size745.4 KiB
2020-12-15T13:44:20.292317image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q18
median13
Q318
95-th percentile30
Maximum99
Range99
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.231474185
Coefficient of variation (CV)0.5828515689
Kurtosis2.703245206
Mean14.12276234
Median Absolute Deviation (MAD)5
Skewness1.120943708
Sum1347481
Variance67.75716725
MonotocityNot monotonic
2020-12-15T13:44:20.450768image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1159826.3%
 
1059776.3%
 
958196.1%
 
854825.7%
 
1253975.7%
 
1350945.3%
 
745824.8%
 
1445084.7%
 
1542104.4%
 
638234.0%
 
Other values (60)4453846.7%
 
ValueCountFrequency (%) 
021692.3%
 
13140.3%
 
29691.0%
 
316451.7%
 
421862.3%
 
ValueCountFrequency (%) 
9910< 0.1%
 
781< 0.1%
 
771< 0.1%
 
702< 0.1%
 
681< 0.1%
 

OCC2
Real number (ℝ≥0)

ZEROS

Distinct61
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.59594181
Minimum0
Maximum99
Zeros2372
Zeros (%)2.5%
Memory size745.4 KiB
2020-12-15T13:44:20.609026image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q18
median11
Q317
95-th percentile26
Maximum99
Range99
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.138636267
Coefficient of variation (CV)0.566740969
Kurtosis3.367308248
Mean12.59594181
Median Absolute Deviation (MAD)4
Skewness1.02546971
Sum1201804
Variance50.96012775
MonotocityNot monotonic
2020-12-15T13:44:20.767603image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
866296.9%
 
965506.9%
 
1061086.4%
 
759956.3%
 
1153895.6%
 
652445.5%
 
1252175.5%
 
1347855.0%
 
1444754.7%
 
1541054.3%
 
Other values (51)4091542.9%
 
ValueCountFrequency (%) 
023722.5%
 
13510.4%
 
210851.1%
 
318632.0%
 
428203.0%
 
ValueCountFrequency (%) 
9910< 0.1%
 
791< 0.1%
 
772< 0.1%
 
683< 0.1%
 
671< 0.1%
 

OCC3
Real number (ℝ≥0)

ZEROS

Distinct35
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.541053536
Minimum0
Maximum99
Zeros10097
Zeros (%)10.6%
Memory size745.4 KiB
2020-12-15T13:44:20.917320image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q35
95-th percentile8
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.565171116
Coefficient of variation (CV)0.7244090182
Kurtosis65.10882234
Mean3.541053536
Median Absolute Deviation (MAD)1
Skewness2.864956996
Sum337859
Variance6.580102853
MonotocityNot monotonic
2020-12-15T13:44:21.052355image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%) 
31786118.7%
 
21611916.9%
 
41532316.1%
 
51086111.4%
 
01009710.6%
 
181828.6%
 
667177.0%
 
741264.3%
 
825102.6%
 
914951.6%
 
Other values (25)21212.2%
 
ValueCountFrequency (%) 
01009710.6%
 
181828.6%
 
21611916.9%
 
31786118.7%
 
41532316.1%
 
ValueCountFrequency (%) 
993< 0.1%
 
401< 0.1%
 
361< 0.1%
 
342< 0.1%
 
331< 0.1%
 

OCC4
Real number (ℝ≥0)

ZEROS

Distinct60
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.40306251
Minimum0
Maximum99
Zeros1789
Zeros (%)1.9%
Memory size745.4 KiB
2020-12-15T13:44:21.199689image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q19
median12
Q315
95-th percentile22
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.54014584
Coefficient of variation (CV)0.4466756365
Kurtosis5.537689202
Mean12.40306251
Median Absolute Deviation (MAD)3
Skewness0.9407463739
Sum1183401
Variance30.69321593
MonotocityNot monotonic
2020-12-15T13:44:21.360106image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1180278.4%
 
1279098.3%
 
1078588.2%
 
1371767.5%
 
969687.3%
 
1465446.9%
 
860416.3%
 
1557466.0%
 
747715.0%
 
1647004.9%
 
Other values (50)2967231.1%
 
ValueCountFrequency (%) 
017891.9%
 
11210.1%
 
24940.5%
 
39091.0%
 
416151.7%
 
ValueCountFrequency (%) 
995< 0.1%
 
671< 0.1%
 
661< 0.1%
 
653< 0.1%
 
614< 0.1%
 

OCC5
Real number (ℝ≥0)

ZEROS

Distinct63
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.50498889
Minimum0
Maximum99
Zeros1401
Zeros (%)1.5%
Memory size745.4 KiB
2020-12-15T13:44:21.522194image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q112
median15
Q319
95-th percentile25
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.737144559
Coefficient of variation (CV)0.3700192628
Kurtosis3.389207572
Mean15.50498889
Median Absolute Deviation (MAD)3
Skewness0.519886787
Sum1479362
Variance32.9148277
MonotocityNot monotonic
2020-12-15T13:44:21.682647image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1479538.3%
 
1574287.8%
 
1373027.7%
 
1668847.2%
 
1768057.1%
 
1264826.8%
 
1858336.1%
 
1154595.7%
 
1949415.2%
 
1045184.7%
 
Other values (53)3180733.3%
 
ValueCountFrequency (%) 
014011.5%
 
127< 0.1%
 
21110.1%
 
32410.3%
 
44870.5%
 
ValueCountFrequency (%) 
993< 0.1%
 
742< 0.1%
 
683< 0.1%
 
633< 0.1%
 
611< 0.1%
 

OCC6
Real number (ℝ≥0)

ZEROS

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4191087075
Minimum0
Maximum43
Zeros70424
Zeros (%)73.8%
Memory size745.4 KiB
2020-12-15T13:44:21.831019image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum43
Range43
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9950074037
Coefficient of variation (CV)2.374103391
Kurtosis114.2558376
Mean0.4191087075
Median Absolute Deviation (MAD)0
Skewness6.760141507
Sum39988
Variance0.9900397334
MonotocityNot monotonic
2020-12-15T13:44:21.955771image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
07042473.8%
 
11699717.8%
 
248465.1%
 
316701.8%
 
46920.7%
 
53170.3%
 
61790.2%
 
7930.1%
 
8570.1%
 
933< 0.1%
 
Other values (17)1040.1%
 
ValueCountFrequency (%) 
07042473.8%
 
11699717.8%
 
248465.1%
 
316701.8%
 
46920.7%
 
ValueCountFrequency (%) 
431< 0.1%
 
282< 0.1%
 
262< 0.1%
 
251< 0.1%
 
241< 0.1%
 

OCC7
Real number (ℝ≥0)

ZEROS

Distinct40
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.644709261
Minimum0
Maximum55
Zeros28233
Zeros (%)29.6%
Memory size745.4 KiB
2020-12-15T13:44:22.090488image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum55
Range55
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.88528424
Coefficient of variation (CV)1.14627204
Kurtosis42.13012341
Mean1.644709261
Median Absolute Deviation (MAD)1
Skewness3.698775453
Sum156925
Variance3.554296666
MonotocityNot monotonic
2020-12-15T13:44:22.223267image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%) 
02823329.6%
 
12557926.8%
 
22009821.1%
 
31055711.1%
 
451145.4%
 
525472.7%
 
613261.4%
 
77500.8%
 
83700.4%
 
92440.3%
 
Other values (30)5940.6%
 
ValueCountFrequency (%) 
02823329.6%
 
12557926.8%
 
22009821.1%
 
31055711.1%
 
451145.4%
 
ValueCountFrequency (%) 
551< 0.1%
 
501< 0.1%
 
481< 0.1%
 
431< 0.1%
 
383< 0.1%
 

OCC8
Real number (ℝ≥0)

ZEROS

Distinct63
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.54466943
Minimum0
Maximum99
Zeros2218
Zeros (%)2.3%
Memory size745.4 KiB
2020-12-15T13:44:22.375776image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median10
Q313
95-th percentile21
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.027545936
Coefficient of variation (CV)0.5716201891
Kurtosis8.133419604
Mean10.54466943
Median Absolute Deviation (MAD)3
Skewness1.577090195
Sum1006088
Variance36.33131
MonotocityNot monotonic
2020-12-15T13:44:22.539809image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
976668.0%
 
1076478.0%
 
874317.8%
 
772707.6%
 
1168777.2%
 
665386.9%
 
1259926.3%
 
555325.8%
 
1354745.7%
 
1445604.8%
 
Other values (53)3042531.9%
 
ValueCountFrequency (%) 
022182.3%
 
16460.7%
 
216491.7%
 
328082.9%
 
440504.2%
 
ValueCountFrequency (%) 
998< 0.1%
 
742< 0.1%
 
691< 0.1%
 
681< 0.1%
 
641< 0.1%
 

OCC9
Real number (ℝ≥0)

ZEROS

Distinct69
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.856286421
Minimum0
Maximum99
Zeros34279
Zeros (%)35.9%
Memory size745.4 KiB
2020-12-15T13:44:22.705105image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile12
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.106797097
Coefficient of variation (CV)1.787914916
Kurtosis27.67649118
Mean2.856286421
Median Absolute Deviation (MAD)1
Skewness4.233968132
Sum272524
Variance26.07937659
MonotocityNot monotonic
2020-12-15T13:44:22.868509image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03427935.9%
 
11912820.0%
 
21210412.7%
 
376508.0%
 
449525.2%
 
534763.6%
 
625662.7%
 
718571.9%
 
815301.6%
 
912031.3%
 
Other values (59)66677.0%
 
ValueCountFrequency (%) 
03427935.9%
 
11912820.0%
 
21210412.7%
 
376508.0%
 
449525.2%
 
ValueCountFrequency (%) 
993< 0.1%
 
742< 0.1%
 
731< 0.1%
 
701< 0.1%
 
662< 0.1%
 

OCC10
Real number (ℝ≥0)

ZEROS

Distinct61
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.3764516
Minimum0
Maximum99
Zeros2634
Zeros (%)2.8%
Memory size745.4 KiB
2020-12-15T13:44:23.026465image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median11
Q315
95-th percentile21
Maximum99
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.85917813
Coefficient of variation (CV)0.5150268587
Kurtosis3.265755244
Mean11.3764516
Median Absolute Deviation (MAD)4
Skewness0.6053907507
Sum1085450
Variance34.32996836
MonotocityNot monotonic
2020-12-15T13:44:23.183935image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1267647.1%
 
1164376.7%
 
1063906.7%
 
1363736.7%
 
960166.3%
 
1459916.3%
 
1554255.7%
 
853835.6%
 
750955.3%
 
1646254.8%
 
Other values (51)3691338.7%
 
ValueCountFrequency (%) 
026342.8%
 
19141.0%
 
219992.1%
 
326122.7%
 
434593.6%
 
ValueCountFrequency (%) 
994< 0.1%
 
771< 0.1%
 
671< 0.1%
 
651< 0.1%
 
641< 0.1%
 

OCC11
Real number (ℝ≥0)

ZEROS

Distinct61
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.309227351
Minimum0
Maximum99
Zeros9888
Zeros (%)10.4%
Memory size745.4 KiB
2020-12-15T13:44:23.348834image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q39
95-th percentile18
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.874675535
Coefficient of variation (CV)0.9311244006
Kurtosis5.912770084
Mean6.309227351
Median Absolute Deviation (MAD)3
Skewness1.757801539
Sum601976
Variance34.51181264
MonotocityNot monotonic
2020-12-15T13:44:23.516905image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
21013110.6%
 
0988810.4%
 
3985910.3%
 
483008.7%
 
177198.1%
 
573797.7%
 
665306.8%
 
755335.8%
 
848455.1%
 
938954.1%
 
Other values (51)2133322.4%
 
ValueCountFrequency (%) 
0988810.4%
 
177198.1%
 
21013110.6%
 
3985910.3%
 
483008.7%
 
ValueCountFrequency (%) 
993< 0.1%
 
701< 0.1%
 
651< 0.1%
 
641< 0.1%
 
612< 0.1%
 

OCC12
Real number (ℝ≥0)

ZEROS

Distinct48
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.012241647
Minimum0
Maximum99
Zeros12087
Zeros (%)12.7%
Memory size745.4 KiB
2020-12-15T13:44:23.679726image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q36
95-th percentile10
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.223159487
Coefficient of variation (CV)0.8033313472
Kurtosis20.32262182
Mean4.012241647
Median Absolute Deviation (MAD)2
Skewness2.038093811
Sum382816
Variance10.38875708
MonotocityNot monotonic
2020-12-15T13:44:23.836341image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%) 
31266313.3%
 
21262613.2%
 
01208712.7%
 
41191312.5%
 
51063211.1%
 
194879.9%
 
682648.7%
 
761586.5%
 
840014.2%
 
926942.8%
 
Other values (38)48875.1%
 
ValueCountFrequency (%) 
01208712.7%
 
194879.9%
 
21262613.2%
 
31266313.3%
 
41191312.5%
 
ValueCountFrequency (%) 
991< 0.1%
 
702< 0.1%
 
571< 0.1%
 
551< 0.1%
 
504< 0.1%
 

OCC13
Real number (ℝ≥0)

ZEROS

Distinct44
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.741877332
Minimum0
Maximum99
Zeros11776
Zeros (%)12.3%
Memory size745.4 KiB
2020-12-15T13:44:23.995090image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q35
95-th percentile9
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.980044158
Coefficient of variation (CV)0.7964034877
Kurtosis28.66022364
Mean3.741877332
Median Absolute Deviation (MAD)2
Skewness2.300730156
Sum357020
Variance8.880663183
MonotocityNot monotonic
2020-12-15T13:44:24.155889image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%) 
31442815.1%
 
21395414.6%
 
41332614.0%
 
01177612.3%
 
51084711.4%
 
1977810.2%
 
677048.1%
 
749105.1%
 
830293.2%
 
918672.0%
 
Other values (34)37934.0%
 
ValueCountFrequency (%) 
01177612.3%
 
1977810.2%
 
21395414.6%
 
31442815.1%
 
41332614.0%
 
ValueCountFrequency (%) 
991< 0.1%
 
792< 0.1%
 
621< 0.1%
 
581< 0.1%
 
571< 0.1%
 

EIC1
Real number (ℝ≥0)

ZEROS

Distinct75
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.156804176
Minimum0
Maximum99
Zeros30576
Zeros (%)32.0%
Memory size745.4 KiB
2020-12-15T13:44:24.317309image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile13
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.570751041
Coefficient of variation (CV)1.764680585
Kurtosis28.33965721
Mean3.156804176
Median Absolute Deviation (MAD)1
Skewness4.304263307
Sum301197
Variance31.03326716
MonotocityNot monotonic
2020-12-15T13:44:24.476800image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03057632.0%
 
11952620.5%
 
21310713.7%
 
380968.5%
 
453055.6%
 
537854.0%
 
626782.8%
 
721042.2%
 
815301.6%
 
912181.3%
 
Other values (65)74877.8%
 
ValueCountFrequency (%) 
03057632.0%
 
11952620.5%
 
21310713.7%
 
380968.5%
 
453055.6%
 
ValueCountFrequency (%) 
995< 0.1%
 
831< 0.1%
 
751< 0.1%
 
742< 0.1%
 
731< 0.1%
 

EIC2
Real number (ℝ≥0)

ZEROS

Distinct54
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.719175785
Minimum0
Maximum65
Zeros74066
Zeros (%)77.6%
Memory size745.4 KiB
2020-12-15T13:44:24.632127image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum65
Range65
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.46105296
Coefficient of variation (CV)3.422046475
Kurtosis93.34354458
Mean0.719175785
Median Absolute Deviation (MAD)0
Skewness7.769692872
Sum68618
Variance6.056781671
MonotocityNot monotonic
2020-12-15T13:44:24.786635image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
07406677.6%
 
1983710.3%
 
241934.4%
 
321102.2%
 
413731.4%
 
58160.9%
 
65940.6%
 
74660.5%
 
83450.4%
 
92090.2%
 
Other values (44)14031.5%
 
ValueCountFrequency (%) 
07406677.6%
 
1983710.3%
 
241934.4%
 
321102.2%
 
413731.4%
 
ValueCountFrequency (%) 
651< 0.1%
 
612< 0.1%
 
581< 0.1%
 
562< 0.1%
 
552< 0.1%
 

EIC3
Real number (ℝ≥0)

ZEROS

Distinct51
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.411646334
Minimum0
Maximum99
Zeros5154
Zeros (%)5.4%
Memory size745.4 KiB
2020-12-15T13:44:24.954085image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median6
Q38
95-th percentile14
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.12236479
Coefficient of variation (CV)0.6429494978
Kurtosis20.97626909
Mean6.411646334
Median Absolute Deviation (MAD)2
Skewness1.952282284
Sum611748
Variance16.99389147
MonotocityNot monotonic
2020-12-15T13:44:25.109338image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
51118311.7%
 
61087111.4%
 
41029810.8%
 
7951710.0%
 
382788.7%
 
880648.5%
 
962096.5%
 
258366.1%
 
051545.4%
 
1045394.8%
 
Other values (41)1546316.2%
 
ValueCountFrequency (%) 
051545.4%
 
126042.7%
 
258366.1%
 
382788.7%
 
41029810.8%
 
ValueCountFrequency (%) 
996< 0.1%
 
771< 0.1%
 
602< 0.1%
 
561< 0.1%
 
502< 0.1%
 

EIC4
Real number (ℝ≥0)

ZEROS

Distinct73
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.96844212
Minimum0
Maximum99
Zeros2055
Zeros (%)2.2%
Memory size745.4 KiB
2020-12-15T13:44:25.264532image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median15
Q323
95-th percentile36
Maximum99
Range99
Interquartile range (IQR)14

Descriptive statistics

Standard deviation10.16710222
Coefficient of variation (CV)0.5991771164
Kurtosis0.9934981112
Mean16.96844212
Median Absolute Deviation (MAD)7
Skewness0.8593484094
Sum1618993
Variance103.3699676
MonotocityNot monotonic
2020-12-15T13:44:25.427218image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1141544.4%
 
1240894.3%
 
1040854.3%
 
1340714.3%
 
940414.2%
 
1438334.0%
 
838124.0%
 
1637924.0%
 
1536523.8%
 
1735123.7%
 
Other values (63)5637159.1%
 
ValueCountFrequency (%) 
020552.2%
 
13940.4%
 
210171.1%
 
316041.7%
 
420532.2%
 
ValueCountFrequency (%) 
995< 0.1%
 
831< 0.1%
 
791< 0.1%
 
723< 0.1%
 
702< 0.1%
 

EIC5
Real number (ℝ≥0)

ZEROS

Distinct45
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.280467866
Minimum0
Maximum99
Zeros8729
Zeros (%)9.1%
Memory size745.4 KiB
2020-12-15T13:44:25.586092image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q36
95-th percentile10
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.201797702
Coefficient of variation (CV)0.7480018079
Kurtosis26.90801722
Mean4.280467866
Median Absolute Deviation (MAD)2
Skewness2.375715152
Sum408408
Variance10.25150853
MonotocityNot monotonic
2020-12-15T13:44:25.736775image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%) 
31604116.8%
 
41469915.4%
 
21269113.3%
 
51155012.1%
 
087299.1%
 
680238.4%
 
160016.3%
 
756375.9%
 
838724.1%
 
924832.6%
 
Other values (35)56866.0%
 
ValueCountFrequency (%) 
087299.1%
 
160016.3%
 
21269113.3%
 
31604116.8%
 
41469915.4%
 
ValueCountFrequency (%) 
992< 0.1%
 
603< 0.1%
 
581< 0.1%
 
561< 0.1%
 
521< 0.1%
 

EIC6
Real number (ℝ≥0)

ZEROS

Distinct34
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.714805266
Minimum0
Maximum64
Zeros15463
Zeros (%)16.2%
Memory size745.4 KiB
2020-12-15T13:44:25.879274image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile7
Maximum64
Range64
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.335400188
Coefficient of variation (CV)0.8602459326
Kurtosis15.47064835
Mean2.714805266
Median Absolute Deviation (MAD)1
Skewness2.109739136
Sum259025
Variance5.454094036
MonotocityNot monotonic
2020-12-15T13:44:26.011291image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%) 
22086721.9%
 
31702817.8%
 
01546316.2%
 
11454015.2%
 
41142612.0%
 
564856.8%
 
639844.2%
 
722632.4%
 
812311.3%
 
97310.8%
 
Other values (24)13941.5%
 
ValueCountFrequency (%) 
01546316.2%
 
11454015.2%
 
22086721.9%
 
31702817.8%
 
41142612.0%
 
ValueCountFrequency (%) 
641< 0.1%
 
501< 0.1%
 
391< 0.1%
 
381< 0.1%
 
342< 0.1%
 

EIC7
Real number (ℝ≥0)

ZEROS

Distinct43
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.369230285
Minimum0
Maximum99
Zeros8628
Zeros (%)9.0%
Memory size745.4 KiB
2020-12-15T13:44:26.161989image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q36
95-th percentile10
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.097411939
Coefficient of variation (CV)0.7089147828
Kurtosis44.90507879
Mean4.369230285
Median Absolute Deviation (MAD)2
Skewness2.596629058
Sum416877
Variance9.59396072
MonotocityNot monotonic
2020-12-15T13:44:26.308046image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%) 
31430615.0%
 
41405514.7%
 
51185512.4%
 
21177212.3%
 
6971910.2%
 
086289.0%
 
765526.9%
 
159196.2%
 
845154.7%
 
928723.0%
 
Other values (33)52195.5%
 
ValueCountFrequency (%) 
086289.0%
 
159196.2%
 
21177212.3%
 
31430615.0%
 
41405514.7%
 
ValueCountFrequency (%) 
994< 0.1%
 
611< 0.1%
 
571< 0.1%
 
541< 0.1%
 
501< 0.1%
 

EIC8
Real number (ℝ≥0)

ZEROS

Distinct71
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.91788245
Minimum0
Maximum99
Zeros1338
Zeros (%)1.4%
Memory size745.4 KiB
2020-12-15T13:44:26.460969image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q113
median17
Q320
95-th percentile27
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.178758891
Coefficient of variation (CV)0.3652205831
Kurtosis4.449461053
Mean16.91788245
Median Absolute Deviation (MAD)4
Skewness0.6945596876
Sum1614169
Variance38.17706144
MonotocityNot monotonic
2020-12-15T13:44:26.620158image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1676228.0%
 
1573607.7%
 
1772487.6%
 
1469517.3%
 
1869077.2%
 
1959526.2%
 
1359386.2%
 
2051715.4%
 
1248405.1%
 
2143444.6%
 
Other values (61)3307934.7%
 
ValueCountFrequency (%) 
013381.4%
 
113< 0.1%
 
2850.1%
 
31970.2%
 
43710.4%
 
ValueCountFrequency (%) 
994< 0.1%
 
902< 0.1%
 
851< 0.1%
 
723< 0.1%
 
711< 0.1%
 

EIC9
Real number (ℝ≥0)

ZEROS

Distinct50
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.860730306
Minimum0
Maximum99
Zeros4980
Zeros (%)5.2%
Memory size745.4 KiB
2020-12-15T13:44:26.781347image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median6
Q39
95-th percentile15
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.660567054
Coefficient of variation (CV)0.679310634
Kurtosis10.11873961
Mean6.860730306
Median Absolute Deviation (MAD)3
Skewness1.603823861
Sum654596
Variance21.72088527
MonotocityNot monotonic
2020-12-15T13:44:26.947812image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
41022510.7%
 
51006710.6%
 
688399.3%
 
387829.2%
 
780748.5%
 
871797.5%
 
261676.5%
 
961006.4%
 
1050015.2%
 
049805.2%
 
Other values (40)1999821.0%
 
ValueCountFrequency (%) 
049805.2%
 
124992.6%
 
261676.5%
 
387829.2%
 
41022510.7%
 
ValueCountFrequency (%) 
994< 0.1%
 
592< 0.1%
 
532< 0.1%
 
523< 0.1%
 
474< 0.1%
 

EIC10
Real number (ℝ≥0)

ZEROS

Distinct44
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.680637656
Minimum0
Maximum99
Zeros6277
Zeros (%)6.6%
Memory size745.4 KiB
2020-12-15T13:44:27.118779image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median4
Q36
95-th percentile10
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.074098458
Coefficient of variation (CV)0.6567691594
Kurtosis45.39841902
Mean4.680637656
Median Absolute Deviation (MAD)2
Skewness2.606298382
Sum446589
Variance9.450081332
MonotocityNot monotonic
2020-12-15T13:44:28.707970image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%) 
41523416.0%
 
31445415.1%
 
51345214.1%
 
21027710.8%
 
61026610.8%
 
773407.7%
 
062776.6%
 
848235.1%
 
143894.6%
 
931393.3%
 
Other values (34)57616.0%
 
ValueCountFrequency (%) 
062776.6%
 
143894.6%
 
21027710.8%
 
31445415.1%
 
41523416.0%
 
ValueCountFrequency (%) 
994< 0.1%
 
781< 0.1%
 
471< 0.1%
 
431< 0.1%
 
411< 0.1%
 

EIC11
Real number (ℝ≥0)

ZEROS

Distinct50
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.286410514
Minimum0
Maximum99
Zeros11713
Zeros (%)12.3%
Memory size745.4 KiB
2020-12-15T13:44:28.880801image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q34
95-th percentile9
Maximum99
Range99
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.227264765
Coefficient of variation (CV)0.9820029333
Kurtosis68.14819384
Mean3.286410514
Median Absolute Deviation (MAD)1
Skewness4.625159861
Sum313563
Variance10.41523786
MonotocityNot monotonic
2020-12-15T13:44:29.045225image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
22078821.8%
 
31850719.4%
 
11213312.7%
 
01171312.3%
 
41147012.0%
 
570417.4%
 
643154.5%
 
727112.8%
 
817581.8%
 
912091.3%
 
Other values (40)37673.9%
 
ValueCountFrequency (%) 
01171312.3%
 
11213312.7%
 
22078821.8%
 
31850719.4%
 
41147012.0%
 
ValueCountFrequency (%) 
996< 0.1%
 
621< 0.1%
 
602< 0.1%
 
531< 0.1%
 
511< 0.1%
 

EIC12
Real number (ℝ≥0)

ZEROS

Distinct41
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.547415419
Minimum0
Maximum67
Zeros33308
Zeros (%)34.9%
Memory size745.4 KiB
2020-12-15T13:44:29.198211image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile5
Maximum67
Range67
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.230989435
Coefficient of variation (CV)1.441752103
Kurtosis61.84386047
Mean1.547415419
Median Absolute Deviation (MAD)1
Skewness5.129374362
Sum147642
Variance4.977313859
MonotocityNot monotonic
2020-12-15T13:44:29.340154image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%) 
03330834.9%
 
12703928.3%
 
21717118.0%
 
379118.3%
 
438694.1%
 
521372.2%
 
611921.2%
 
77610.8%
 
85120.5%
 
93900.4%
 
Other values (31)11221.2%
 
ValueCountFrequency (%) 
03330834.9%
 
12703928.3%
 
21717118.0%
 
379118.3%
 
438694.1%
 
ValueCountFrequency (%) 
671< 0.1%
 
613< 0.1%
 
532< 0.1%
 
501< 0.1%
 
491< 0.1%
 

EIC13
Real number (ℝ≥0)

ZEROS

Distinct56
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.047625037
Minimum0
Maximum99
Zeros2943
Zeros (%)3.1%
Memory size745.4 KiB
2020-12-15T13:44:29.502538image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median8
Q310
95-th percentile16
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.496398743
Coefficient of variation (CV)0.5587236884
Kurtosis13.96877303
Mean8.047625037
Median Absolute Deviation (MAD)3
Skewness1.801177496
Sum767840
Variance20.21760166
MonotocityNot monotonic
2020-12-15T13:44:29.665128image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
71088111.4%
 
81047111.0%
 
61040010.9%
 
587459.2%
 
987089.1%
 
1069037.2%
 
466016.9%
 
1154405.7%
 
344294.6%
 
1240564.3%
 
Other values (46)1877819.7%
 
ValueCountFrequency (%) 
029433.1%
 
19271.0%
 
226232.7%
 
344294.6%
 
466016.9%
 
ValueCountFrequency (%) 
994< 0.1%
 
751< 0.1%
 
681< 0.1%
 
641< 0.1%
 
602< 0.1%
 

EIC14
Real number (ℝ≥0)

ZEROS

Distinct69
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.055653377
Minimum0
Maximum99
Zeros3644
Zeros (%)3.8%
Memory size745.4 KiB
2020-12-15T13:44:29.831317image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median7
Q310
95-th percentile17
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.363319851
Coefficient of variation (CV)0.665783345
Kurtosis13.00737605
Mean8.055653377
Median Absolute Deviation (MAD)3
Skewness2.345419006
Sum768606
Variance28.76519983
MonotocityNot monotonic
2020-12-15T13:44:29.996599image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
71058811.1%
 
61039010.9%
 
891809.6%
 
591339.6%
 
974937.9%
 
473037.7%
 
1061936.5%
 
354065.7%
 
1146404.9%
 
036443.8%
 
Other values (59)2144222.5%
 
ValueCountFrequency (%) 
036443.8%
 
112461.3%
 
232863.4%
 
354065.7%
 
473037.7%
 
ValueCountFrequency (%) 
992< 0.1%
 
771< 0.1%
 
722< 0.1%
 
701< 0.1%
 
691< 0.1%
 

EIC15
Real number (ℝ≥0)

ZEROS

Distinct58
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.477937786
Minimum0
Maximum99
Zeros4411
Zeros (%)4.6%
Memory size745.4 KiB
2020-12-15T13:44:30.161310image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median6
Q38
95-th percentile14
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.354418932
Coefficient of variation (CV)0.6721921507
Kurtosis18.91402724
Mean6.477937786
Median Absolute Deviation (MAD)2
Skewness2.271187644
Sum618073
Variance18.96096424
MonotocityNot monotonic
2020-12-15T13:44:30.316653image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
51217412.8%
 
41161312.2%
 
61092311.4%
 
792549.7%
 
390639.5%
 
872587.6%
 
256335.9%
 
956295.9%
 
044114.6%
 
1040754.3%
 
Other values (48)1537916.1%
 
ValueCountFrequency (%) 
044114.6%
 
122292.3%
 
256335.9%
 
390639.5%
 
41161312.2%
 
ValueCountFrequency (%) 
994< 0.1%
 
821< 0.1%
 
762< 0.1%
 
682< 0.1%
 
651< 0.1%
 

EIC16
Real number (ℝ≥0)

ZEROS

Distinct51
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.585261812
Minimum0
Maximum99
Zeros9008
Zeros (%)9.4%
Memory size745.4 KiB
2020-12-15T13:44:30.473988image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q36
95-th percentile12
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.083389141
Coefficient of variation (CV)0.8905465618
Kurtosis12.67188759
Mean4.585261812
Median Absolute Deviation (MAD)2
Skewness2.418231434
Sum437489
Variance16.67406688
MonotocityNot monotonic
2020-12-15T13:44:30.629994image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
31477715.5%
 
21367914.3%
 
41274713.4%
 
5953610.0%
 
090089.4%
 
179468.3%
 
672557.6%
 
752935.5%
 
835973.8%
 
925702.7%
 
Other values (41)90049.4%
 
ValueCountFrequency (%) 
090089.4%
 
179468.3%
 
21367914.3%
 
31477715.5%
 
41274713.4%
 
ValueCountFrequency (%) 
991< 0.1%
 
591< 0.1%
 
571< 0.1%
 
552< 0.1%
 
541< 0.1%
 

OEDC1
Real number (ℝ≥0)

ZEROS

Distinct54
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.008667673
Minimum0
Maximum99
Zeros3860
Zeros (%)4.0%
Memory size745.4 KiB
2020-12-15T13:44:30.794636image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median6
Q39
95-th percentile15
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.267493907
Coefficient of variation (CV)0.6088880378
Kurtosis11.09181692
Mean7.008667673
Median Absolute Deviation (MAD)2
Skewness1.692472789
Sum668711
Variance18.21150425
MonotocityNot monotonic
2020-12-15T13:44:30.953270image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
51134511.9%
 
61129511.8%
 
71025910.8%
 
493729.8%
 
887649.2%
 
969427.3%
 
367907.1%
 
1052195.5%
 
242784.5%
 
1140154.2%
 
Other values (44)1713318.0%
 
ValueCountFrequency (%) 
038604.0%
 
117271.8%
 
242784.5%
 
367907.1%
 
493729.8%
 
ValueCountFrequency (%) 
992< 0.1%
 
641< 0.1%
 
598< 0.1%
 
571< 0.1%
 
551< 0.1%
 

OEDC2
Real number (ℝ≥0)

ZEROS

Distinct63
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.675407706
Minimum0
Maximum99
Zeros11983
Zeros (%)12.6%
Memory size745.4 KiB
2020-12-15T13:44:31.112501image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q36
95-th percentile14
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.064888376
Coefficient of variation (CV)1.083304108
Kurtosis14.23765692
Mean4.675407706
Median Absolute Deviation (MAD)2
Skewness2.880220035
Sum446090
Variance25.65309426
MonotocityNot monotonic
2020-12-15T13:44:31.268311image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
21461115.3%
 
31316113.8%
 
01198312.6%
 
11050611.0%
 
41012510.6%
 
576038.0%
 
658266.1%
 
744584.7%
 
834823.6%
 
925452.7%
 
Other values (53)1111211.6%
 
ValueCountFrequency (%) 
01198312.6%
 
11050611.0%
 
21461115.3%
 
31316113.8%
 
41012510.6%
 
ValueCountFrequency (%) 
991< 0.1%
 
611< 0.1%
 
604< 0.1%
 
592< 0.1%
 
583< 0.1%
 

OEDC3
Real number (ℝ≥0)

ZEROS

Distinct54
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.187062424
Minimum0
Maximum99
Zeros18627
Zeros (%)19.5%
Memory size745.4 KiB
2020-12-15T13:44:31.424779image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile10
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.161942946
Coefficient of variation (CV)1.305886861
Kurtosis25.53412344
Mean3.187062424
Median Absolute Deviation (MAD)1
Skewness3.891066408
Sum304084
Variance17.32176908
MonotocityNot monotonic
2020-12-15T13:44:31.584811image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
21887719.8%
 
01862719.5%
 
11733218.2%
 
31264213.2%
 
480078.4%
 
552045.5%
 
635913.8%
 
724632.6%
 
818912.0%
 
912871.3%
 
Other values (44)54915.8%
 
ValueCountFrequency (%) 
01862719.5%
 
11733218.2%
 
21887719.8%
 
31264213.2%
 
480078.4%
 
ValueCountFrequency (%) 
991< 0.1%
 
641< 0.1%
 
604< 0.1%
 
562< 0.1%
 
516< 0.1%
 

OEDC4
Real number (ℝ≥0)

ZEROS

Distinct66
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.048536872
Minimum0
Maximum99
Zeros3947
Zeros (%)4.1%
Memory size745.4 KiB
2020-12-15T13:44:31.745157image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median7
Q310
95-th percentile18
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.471748372
Coefficient of variation (CV)0.6798438597
Kurtosis9.187931357
Mean8.048536872
Median Absolute Deviation (MAD)3
Skewness1.827006165
Sum767927
Variance29.94003025
MonotocityNot monotonic
2020-12-15T13:44:31.904837image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6950810.0%
 
592419.7%
 
788879.3%
 
480128.4%
 
878048.2%
 
969637.3%
 
360956.4%
 
1054305.7%
 
1144864.7%
 
242634.5%
 
Other values (56)2472325.9%
 
ValueCountFrequency (%) 
039474.1%
 
116971.8%
 
242634.5%
 
360956.4%
 
480128.4%
 
ValueCountFrequency (%) 
994< 0.1%
 
781< 0.1%
 
731< 0.1%
 
711< 0.1%
 
672< 0.1%
 

OEDC5
Real number (ℝ≥0)

Distinct91
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.56771685
Minimum0
Maximum99
Zeros908
Zeros (%)1.0%
Memory size745.4 KiB
2020-12-15T13:44:32.065770image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile50
Q164
median71
Q377
95-th percentile85
Maximum99
Range99
Interquartile range (IQR)13

Descriptive statistics

Standard deviation12.3009651
Coefficient of variation (CV)0.1768200203
Kurtosis8.57462369
Mean69.56771685
Median Absolute Deviation (MAD)7
Skewness-2.004090496
Sum6637595
Variance151.3137425
MonotocityNot monotonic
2020-12-15T13:44:32.226805image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
7541344.3%
 
7440244.2%
 
7340224.2%
 
7239794.2%
 
7639514.1%
 
7737854.0%
 
7137653.9%
 
7037083.9%
 
6935903.8%
 
7835623.7%
 
Other values (81)5689259.6%
 
ValueCountFrequency (%) 
09081.0%
 
91< 0.1%
 
111< 0.1%
 
121< 0.1%
 
131< 0.1%
 
ValueCountFrequency (%) 
991500.2%
 
989< 0.1%
 
9716< 0.1%
 
9628< 0.1%
 
9540< 0.1%
 

OEDC6
Real number (ℝ≥0)

ZEROS

Distinct63
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.086299417
Minimum0
Maximum99
Zeros4834
Zeros (%)5.1%
Memory size745.4 KiB
2020-12-15T13:44:32.390773image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median5
Q38
95-th percentile14
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.355084231
Coefficient of variation (CV)0.71555537
Kurtosis29.95177834
Mean6.086299417
Median Absolute Deviation (MAD)2
Skewness2.992306553
Sum580706
Variance18.96675866
MonotocityNot monotonic
2020-12-15T13:44:32.545136image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
41248713.1%
 
51225212.8%
 
61083111.4%
 
31042610.9%
 
786279.0%
 
867537.1%
 
266527.0%
 
949285.2%
 
048345.1%
 
1037223.9%
 
Other values (53)1390014.6%
 
ValueCountFrequency (%) 
048345.1%
 
129033.0%
 
266527.0%
 
31042610.9%
 
41248713.1%
 
ValueCountFrequency (%) 
997< 0.1%
 
841< 0.1%
 
821< 0.1%
 
811< 0.1%
 
741< 0.1%
 

OEDC7
Real number (ℝ≥0)

ZEROS

Distinct25
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4977361338
Minimum0
Maximum99
Zeros65047
Zeros (%)68.2%
Memory size745.4 KiB
2020-12-15T13:44:32.686526image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum99
Range99
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.035566235
Coefficient of variation (CV)2.080552657
Kurtosis941.9144014
Mean0.4977361338
Median Absolute Deviation (MAD)0
Skewness13.6585418
Sum47490
Variance1.072397428
MonotocityNot monotonic
2020-12-15T13:44:32.813391image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%) 
06504768.2%
 
12040921.4%
 
263446.6%
 
321022.2%
 
47670.8%
 
53310.3%
 
61600.2%
 
7950.1%
 
8590.1%
 
927< 0.1%
 
Other values (15)710.1%
 
ValueCountFrequency (%) 
06504768.2%
 
12040921.4%
 
263446.6%
 
321022.2%
 
47670.8%
 
ValueCountFrequency (%) 
991< 0.1%
 
491< 0.1%
 
281< 0.1%
 
271< 0.1%
 
231< 0.1%
 

EC1
Real number (ℝ≥0)

Distinct79
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.0225339
Minimum0
Maximum170
Zeros774
Zeros (%)0.8%
Memory size745.4 KiB
2020-12-15T13:44:32.955560image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile120
Q1120
median120
Q3140
95-th percentile160
Maximum170
Range170
Interquartile range (IQR)20

Descriptive statistics

Standard deviation17.73557627
Coefficient of variation (CV)0.1385348011
Kurtosis20.19421239
Mean128.0225339
Median Absolute Deviation (MAD)1
Skewness-2.547111473
Sum12214886
Variance314.5506656
MonotocityNot monotonic
2020-12-15T13:44:33.108303image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1204726249.5%
 
1401032610.8%
 
16064676.8%
 
13010991.2%
 
12610371.1%
 
12710261.1%
 
13210171.1%
 
12210121.1%
 
12810011.0%
 
1249931.0%
 
Other values (69)2417225.3%
 
ValueCountFrequency (%) 
07740.8%
 
892530.3%
 
9021< 0.1%
 
9118< 0.1%
 
9212< 0.1%
 
ValueCountFrequency (%) 
170830.1%
 
1662< 0.1%
 
1643< 0.1%
 
16310< 0.1%
 
16222< 0.1%
 

EC2
Real number (ℝ≥0)

ZEROS

Distinct76
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.770207102
Minimum0
Maximum99
Zeros6218
Zeros (%)6.5%
Memory size745.4 KiB
2020-12-15T13:44:33.273863image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median6
Q312
95-th percentile25
Maximum99
Range99
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.27865894
Coefficient of variation (CV)0.9439525023
Kurtosis5.374752051
Mean8.770207102
Median Absolute Deviation (MAD)4
Skewness1.838959052
Sum836783
Variance68.53619384
MonotocityNot monotonic
2020-12-15T13:44:33.438803image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
280838.5%
 
377708.1%
 
173177.7%
 
469537.3%
 
062186.5%
 
561856.5%
 
656966.0%
 
750055.2%
 
846064.8%
 
940914.3%
 
Other values (66)3348835.1%
 
ValueCountFrequency (%) 
062186.5%
 
173177.7%
 
280838.5%
 
377708.1%
 
469537.3%
 
ValueCountFrequency (%) 
994< 0.1%
 
782< 0.1%
 
761< 0.1%
 
741< 0.1%
 
722< 0.1%
 

EC3
Real number (ℝ≥0)

ZEROS

Distinct63
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.84596277
Minimum0
Maximum99
Zeros1879
Zeros (%)2.0%
Memory size745.4 KiB
2020-12-15T13:44:33.602309image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median12
Q318
95-th percentile26
Maximum99
Range99
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.602447295
Coefficient of variation (CV)0.5918160772
Kurtosis1.187423506
Mean12.84596277
Median Absolute Deviation (MAD)5
Skewness0.6975997684
Sum1225659
Variance57.79720488
MonotocityNot monotonic
2020-12-15T13:44:33.758707image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1049355.2%
 
948915.1%
 
846984.9%
 
1146824.9%
 
1245994.8%
 
745994.8%
 
1345264.7%
 
643334.5%
 
1543184.5%
 
1442404.4%
 
Other values (53)4959152.0%
 
ValueCountFrequency (%) 
018792.0%
 
115481.6%
 
224842.6%
 
333713.5%
 
437613.9%
 
ValueCountFrequency (%) 
994< 0.1%
 
821< 0.1%
 
624< 0.1%
 
611< 0.1%
 
584< 0.1%
 

EC4
Real number (ℝ≥0)

ZEROS

Distinct80
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.72554815
Minimum0
Maximum99
Zeros955
Zeros (%)1.0%
Memory size745.4 KiB
2020-12-15T13:44:33.918005image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q122
median29
Q336
95-th percentile45
Maximum99
Range99
Interquartile range (IQR)14

Descriptive statistics

Standard deviation10.25894072
Coefficient of variation (CV)0.3571364651
Kurtosis0.1743189373
Mean28.72554815
Median Absolute Deviation (MAD)7
Skewness-0.1683992413
Sum2740762
Variance105.2458648
MonotocityNot monotonic
2020-12-15T13:44:34.077899image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3138974.1%
 
3238404.0%
 
3038394.0%
 
2937854.0%
 
3437383.9%
 
3336493.8%
 
2834953.7%
 
2733773.5%
 
3533263.5%
 
2632443.4%
 
Other values (70)5922262.1%
 
ValueCountFrequency (%) 
09551.0%
 
118< 0.1%
 
243< 0.1%
 
3870.1%
 
41310.1%
 
ValueCountFrequency (%) 
9910< 0.1%
 
901< 0.1%
 
881< 0.1%
 
781< 0.1%
 
751< 0.1%
 

EC5
Real number (ℝ≥0)

ZEROS

Distinct69
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.79133652
Minimum0
Maximum99
Zeros970
Zeros (%)1.0%
Memory size745.4 KiB
2020-12-15T13:44:34.242622image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q116
median21
Q325
95-th percentile32
Maximum99
Range99
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.123331434
Coefficient of variation (CV)0.3426105593
Kurtosis1.075792482
Mean20.79133652
Median Absolute Deviation (MAD)5
Skewness0.08037732093
Sum1983743
Variance50.74185072
MonotocityNot monotonic
2020-12-15T13:44:34.399470image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2355195.8%
 
2154985.8%
 
2253655.6%
 
2053505.6%
 
1951015.3%
 
2450495.3%
 
1850085.2%
 
1747415.0%
 
2545904.8%
 
2641954.4%
 
Other values (59)4499647.2%
 
ValueCountFrequency (%) 
09701.0%
 
120< 0.1%
 
2550.1%
 
3980.1%
 
41640.2%
 
ValueCountFrequency (%) 
993< 0.1%
 
831< 0.1%
 
751< 0.1%
 
741< 0.1%
 
731< 0.1%
 

EC6
Real number (ℝ≥0)

ZEROS

Distinct36
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.544617029
Minimum0
Maximum37
Zeros2637
Zeros (%)2.8%
Memory size745.4 KiB
2020-12-15T13:44:34.552813image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q39
95-th percentile12
Maximum37
Range37
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.397795052
Coefficient of variation (CV)0.5191740078
Kurtosis1.352058285
Mean6.544617029
Median Absolute Deviation (MAD)2
Skewness0.6455382431
Sum624435
Variance11.54501122
MonotocityNot monotonic
2020-12-15T13:44:34.692839image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%) 
61171112.3%
 
51133311.9%
 
71107811.6%
 
4992510.4%
 
894769.9%
 
976938.1%
 
375437.9%
 
1056816.0%
 
249565.2%
 
1140054.2%
 
Other values (26)1201112.6%
 
ValueCountFrequency (%) 
026372.8%
 
121272.2%
 
249565.2%
 
375437.9%
 
4992510.4%
 
ValueCountFrequency (%) 
371< 0.1%
 
353< 0.1%
 
341< 0.1%
 
331< 0.1%
 
321< 0.1%
 

EC7
Real number (ℝ≥0)

ZEROS

Distinct61
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.0698235
Minimum0
Maximum99
Zeros2138
Zeros (%)2.2%
Memory size745.4 KiB
2020-12-15T13:44:34.850552image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median12
Q320
95-th percentile33
Maximum99
Range99
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.729814063
Coefficient of variation (CV)0.6915377482
Kurtosis0.5069341419
Mean14.0698235
Median Absolute Deviation (MAD)6
Skewness0.919878111
Sum1342430
Variance94.6692817
MonotocityNot monotonic
2020-12-15T13:44:35.006710image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
755155.8%
 
653615.6%
 
852105.5%
 
551255.4%
 
946414.9%
 
1044424.7%
 
443314.5%
 
1138934.1%
 
1236213.8%
 
1333553.5%
 
Other values (51)4991852.3%
 
ValueCountFrequency (%) 
021382.2%
 
111121.2%
 
222632.4%
 
331593.3%
 
443314.5%
 
ValueCountFrequency (%) 
994< 0.1%
 
674< 0.1%
 
611< 0.1%
 
584< 0.1%
 
561< 0.1%
 

EC8
Real number (ℝ≥0)

ZEROS

Distinct71
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.366044103
Minimum0
Maximum99
Zeros5922
Zeros (%)6.2%
Memory size745.4 KiB
2020-12-15T13:44:35.164313image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median5
Q310
95-th percentile22
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.057123226
Coefficient of variation (CV)0.958061495
Kurtosis6.036075868
Mean7.366044103
Median Absolute Deviation (MAD)3
Skewness1.998782878
Sum702809
Variance49.80298823
MonotocityNot monotonic
2020-12-15T13:44:35.335329image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
31082211.3%
 
21001210.5%
 
4976210.2%
 
577978.2%
 
162966.6%
 
662356.5%
 
059226.2%
 
751575.4%
 
844424.7%
 
938054.0%
 
Other values (61)2516226.4%
 
ValueCountFrequency (%) 
059226.2%
 
162966.6%
 
21001210.5%
 
31082211.3%
 
4976210.2%
 
ValueCountFrequency (%) 
992< 0.1%
 
753< 0.1%
 
711< 0.1%
 
701< 0.1%
 
681< 0.1%
 

SEC1
Real number (ℝ≥0)

ZEROS

Distinct83
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.726156039
Minimum0
Maximum97
Zeros8942
Zeros (%)9.4%
Memory size745.4 KiB
2020-12-15T13:44:35.508814image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35
95-th percentile10
Maximum97
Range97
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.829338502
Coefficient of variation (CV)1.027691396
Kurtosis77.00394184
Mean3.726156039
Median Absolute Deviation (MAD)2
Skewness5.706495021
Sum355520
Variance14.66383336
MonotocityNot monotonic
2020-12-15T13:44:35.678412image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
21677717.6%
 
11571016.5%
 
31433315.0%
 
41141812.0%
 
089429.4%
 
585018.9%
 
660886.4%
 
740694.3%
 
826702.8%
 
919672.1%
 
Other values (73)49375.2%
 
ValueCountFrequency (%) 
089429.4%
 
11571016.5%
 
21677717.6%
 
31433315.0%
 
41141812.0%
 
ValueCountFrequency (%) 
971< 0.1%
 
931< 0.1%
 
922< 0.1%
 
891< 0.1%
 
881< 0.1%
 

SEC2
Real number (ℝ≥0)

ZEROS

Distinct97
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.09264034
Minimum0
Maximum99
Zeros1087
Zeros (%)1.1%
Memory size745.4 KiB
2020-12-15T13:44:35.848654image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q118
median22
Q326
95-th percentile33
Maximum99
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.745973561
Coefficient of variation (CV)0.3506133012
Kurtosis5.300706305
Mean22.09264034
Median Absolute Deviation (MAD)4
Skewness0.4255735841
Sum2107903
Variance60.0001064
MonotocityNot monotonic
2020-12-15T13:44:36.017832image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2363896.7%
 
2263496.7%
 
2462896.6%
 
2560466.3%
 
2158156.1%
 
2653825.6%
 
2050505.3%
 
2746594.9%
 
1946404.9%
 
1839274.1%
 
Other values (87)4086642.8%
 
ValueCountFrequency (%) 
010871.1%
 
11880.2%
 
22440.3%
 
32690.3%
 
43630.4%
 
ValueCountFrequency (%) 
993< 0.1%
 
981< 0.1%
 
972< 0.1%
 
962< 0.1%
 
953< 0.1%
 

SEC3
Real number (ℝ≥0)

ZEROS

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.883704356
Minimum0
Maximum30
Zeros13144
Zeros (%)13.8%
Memory size745.4 KiB
2020-12-15T13:44:36.164685image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile4
Maximum30
Range30
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.362423099
Coefficient of variation (CV)0.7232680093
Kurtosis4.984792573
Mean1.883704356
Median Absolute Deviation (MAD)1
Skewness1.150198659
Sum179728
Variance1.856196702
MonotocityNot monotonic
2020-12-15T13:44:36.283957image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%) 
22896630.4%
 
12746728.8%
 
31532716.1%
 
01314413.8%
 
465466.9%
 
526412.8%
 
67730.8%
 
73130.3%
 
81310.1%
 
9530.1%
 
Other values (9)510.1%
 
ValueCountFrequency (%) 
01314413.8%
 
12746728.8%
 
22896630.4%
 
31532716.1%
 
465466.9%
 
ValueCountFrequency (%) 
301< 0.1%
 
221< 0.1%
 
191< 0.1%
 
171< 0.1%
 
142< 0.1%
 

SEC4
Real number (ℝ≥0)

ZEROS

Distinct54
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.13019327
Minimum0
Maximum72
Zeros1623
Zeros (%)1.7%
Memory size745.4 KiB
2020-12-15T13:44:36.433258image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q113
median18
Q321
95-th percentile27
Maximum72
Range72
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.372528533
Coefficient of variation (CV)0.3720056414
Kurtosis0.7401881573
Mean17.13019327
Median Absolute Deviation (MAD)4
Skewness-0.3029003571
Sum1634426
Variance40.6091199
MonotocityNot monotonic
2020-12-15T13:44:36.596517image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1973237.7%
 
1871617.5%
 
2070837.4%
 
1763266.6%
 
2161816.5%
 
1657826.1%
 
2253965.7%
 
1550705.3%
 
1443334.5%
 
2341474.3%
 
Other values (44)3661038.4%
 
ValueCountFrequency (%) 
016231.7%
 
14320.5%
 
25460.6%
 
37280.8%
 
47800.8%
 
ValueCountFrequency (%) 
723< 0.1%
 
621< 0.1%
 
601< 0.1%
 
531< 0.1%
 
514< 0.1%
 

SEC5
Real number (ℝ≥0)

ZEROS

Distinct97
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.808755712
Minimum0
Maximum99
Zeros1889
Zeros (%)2.0%
Memory size745.4 KiB
2020-12-15T13:44:36.764633image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q38
95-th percentile14
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.66821284
Coefficient of variation (CV)0.8324887952
Kurtosis57.47150269
Mean6.808755712
Median Absolute Deviation (MAD)2
Skewness5.697104609
Sum649637
Variance32.1286368
MonotocityNot monotonic
2020-12-15T13:44:36.920647image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
51202612.6%
 
41194612.5%
 
61096711.5%
 
3996010.4%
 
7981610.3%
 
880838.5%
 
962826.6%
 
255985.9%
 
1044844.7%
 
1132033.4%
 
Other values (87)1304713.7%
 
ValueCountFrequency (%) 
018892.0%
 
122262.3%
 
255985.9%
 
3996010.4%
 
41194612.5%
 
ValueCountFrequency (%) 
998< 0.1%
 
982< 0.1%
 
975< 0.1%
 
961< 0.1%
 
951< 0.1%
 

AFC1
Real number (ℝ≥0)

ZEROS

Distinct81
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5965811428
Minimum0
Maximum97
Zeros78106
Zeros (%)81.9%
Memory size745.4 KiB
2020-12-15T13:44:37.083486image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum97
Range97
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3.169440205
Coefficient of variation (CV)5.312672456
Kurtosis274.5994972
Mean0.5965811428
Median Absolute Deviation (MAD)0
Skewness14.35797814
Sum56921
Variance10.04535121
MonotocityNot monotonic
2020-12-15T13:44:37.239924image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
07810681.9%
 
11010410.6%
 
226352.8%
 
311991.3%
 
47020.7%
 
55000.5%
 
63180.3%
 
73120.3%
 
82270.2%
 
91790.2%
 
Other values (71)11301.2%
 
ValueCountFrequency (%) 
07810681.9%
 
11010410.6%
 
226352.8%
 
311991.3%
 
47020.7%
 
ValueCountFrequency (%) 
971< 0.1%
 
912< 0.1%
 
861< 0.1%
 
842< 0.1%
 
832< 0.1%
 

AFC2
Real number (ℝ≥0)

ZEROS

Distinct96
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.061554102
Minimum0
Maximum99
Zeros73368
Zeros (%)76.9%
Memory size745.4 KiB
2020-12-15T13:44:37.393746image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile4
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.903343554
Coefficient of variation (CV)4.619023697
Kurtosis165.41064
Mean1.061554102
Median Absolute Deviation (MAD)0
Skewness11.26849914
Sum101285
Variance24.04277801
MonotocityNot monotonic
2020-12-15T13:44:37.553595image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
07336876.9%
 
1953810.0%
 
244574.7%
 
321402.2%
 
411691.2%
 
58400.9%
 
65700.6%
 
74020.4%
 
83770.4%
 
92640.3%
 
Other values (86)22872.4%
 
ValueCountFrequency (%) 
07336876.9%
 
1953810.0%
 
244574.7%
 
321402.2%
 
411691.2%
 
ValueCountFrequency (%) 
991< 0.1%
 
981< 0.1%
 
974< 0.1%
 
963< 0.1%
 
953< 0.1%
 

AFC3
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct36
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1456630193
Minimum0
Maximum78
Zeros89749
Zeros (%)94.1%
Memory size745.4 KiB
2020-12-15T13:44:37.707314image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum78
Range78
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.066101821
Coefficient of variation (CV)7.318960062
Kurtosis1293.062816
Mean0.1456630193
Median Absolute Deviation (MAD)0
Skewness26.24751506
Sum13898
Variance1.136573093
MonotocityNot monotonic
2020-12-15T13:44:37.843431image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%) 
08974994.1%
 
130263.2%
 
212661.3%
 
35200.5%
 
42600.3%
 
51580.2%
 
61060.1%
 
8580.1%
 
7520.1%
 
932< 0.1%
 
Other values (26)1850.2%
 
ValueCountFrequency (%) 
08974994.1%
 
130263.2%
 
212661.3%
 
35200.5%
 
42600.3%
 
ValueCountFrequency (%) 
782< 0.1%
 
771< 0.1%
 
591< 0.1%
 
541< 0.1%
 
481< 0.1%
 

AFC4
Real number (ℝ≥0)

ZEROS

Distinct57
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.57427787
Minimum0
Maximum99
Zeros962
Zeros (%)1.0%
Memory size745.4 KiB
2020-12-15T13:44:37.999158image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q112
median15
Q319
95-th percentile24
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.27047573
Coefficient of variation (CV)0.3384089956
Kurtosis2.487273059
Mean15.57427787
Median Absolute Deviation (MAD)3
Skewness0.3230725303
Sum1485973
Variance27.77791442
MonotocityNot monotonic
2020-12-15T13:44:38.160155image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1588419.3%
 
1483908.8%
 
1683788.8%
 
1774557.8%
 
1373607.7%
 
1864246.7%
 
1262156.5%
 
1953645.6%
 
1148675.1%
 
2044894.7%
 
Other values (47)2762929.0%
 
ValueCountFrequency (%) 
09621.0%
 
1780.1%
 
21920.2%
 
32950.3%
 
44490.5%
 
ValueCountFrequency (%) 
991< 0.1%
 
711< 0.1%
 
641< 0.1%
 
631< 0.1%
 
551< 0.1%
 

AFC5
Real number (ℝ≥0)

ZEROS

Distinct88
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.26999748
Minimum0
Maximum99
Zeros965
Zeros (%)1.0%
Memory size745.4 KiB
2020-12-15T13:44:38.321599image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q125
median31
Q337
95-th percentile49
Maximum99
Range99
Interquartile range (IQR)12

Descriptive statistics

Standard deviation10.47574139
Coefficient of variation (CV)0.3350093455
Kurtosis1.423220471
Mean31.26999748
Median Absolute Deviation (MAD)6
Skewness0.1830598169
Sum2983533
Variance109.7411577
MonotocityNot monotonic
2020-12-15T13:44:38.479287image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
3045134.7%
 
3144634.7%
 
3243054.5%
 
3342274.4%
 
2941764.4%
 
2840934.3%
 
2739084.1%
 
3438734.1%
 
3537513.9%
 
2636323.8%
 
Other values (78)5447157.1%
 
ValueCountFrequency (%) 
09651.0%
 
119< 0.1%
 
244< 0.1%
 
3700.1%
 
41240.1%
 
ValueCountFrequency (%) 
9910< 0.1%
 
901< 0.1%
 
856< 0.1%
 
844< 0.1%
 
833< 0.1%
 

AFC6
Real number (ℝ≥0)

ZEROS

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.280216325
Minimum0
Maximum30
Zeros38104
Zeros (%)39.9%
Memory size745.4 KiB
2020-12-15T13:44:38.625532image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum30
Range30
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.640392065
Coefficient of variation (CV)1.28133975
Kurtosis14.38301933
Mean1.280216325
Median Absolute Deviation (MAD)1
Skewness2.634951385
Sum122148
Variance2.690886128
MonotocityNot monotonic
2020-12-15T13:44:38.748607image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%) 
03810439.9%
 
12597127.2%
 
21600516.8%
 
375868.0%
 
436223.8%
 
518241.9%
 
68950.9%
 
74990.5%
 
83270.3%
 
92190.2%
 
Other values (17)3600.4%
 
ValueCountFrequency (%) 
03810439.9%
 
12597127.2%
 
21600516.8%
 
375868.0%
 
436223.8%
 
ValueCountFrequency (%) 
302< 0.1%
 
271< 0.1%
 
251< 0.1%
 
232< 0.1%
 
224< 0.1%
 

VC1
Real number (ℝ≥0)

ZEROS

Distinct95
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.58388882
Minimum0
Maximum99
Zeros3150
Zeros (%)3.3%
Memory size745.4 KiB
2020-12-15T13:44:38.900732image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q121
median30
Q339
95-th percentile55
Maximum99
Range99
Interquartile range (IQR)18

Descriptive statistics

Standard deviation14.49410083
Coefficient of variation (CV)0.4739129454
Kurtosis0.707550496
Mean30.58388882
Median Absolute Deviation (MAD)9
Skewness0.3659024969
Sum2918070
Variance210.078959
MonotocityNot monotonic
2020-12-15T13:44:39.060375image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
031503.3%
 
2731033.3%
 
2830653.2%
 
3229943.1%
 
2929783.1%
 
3129663.1%
 
3029543.1%
 
2628343.0%
 
2527242.9%
 
3327192.8%
 
Other values (85)6592569.1%
 
ValueCountFrequency (%) 
031503.3%
 
114< 0.1%
 
2640.1%
 
31330.1%
 
42590.3%
 
ValueCountFrequency (%) 
991090.1%
 
932< 0.1%
 
921< 0.1%
 
911< 0.1%
 
906< 0.1%
 

VC2
Real number (ℝ≥0)

ZEROS

Distinct89
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.92179181
Minimum0
Maximum99
Zeros6030
Zeros (%)6.3%
Memory size745.4 KiB
2020-12-15T13:44:39.226864image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112
median17
Q323
95-th percentile34
Maximum99
Range99
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.729101777
Coefficient of variation (CV)0.5428643453
Kurtosis3.851331354
Mean17.92179181
Median Absolute Deviation (MAD)5
Skewness0.8774613369
Sum1709954
Variance94.65542139
MonotocityNot monotonic
2020-12-15T13:44:39.389389image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
060306.3%
 
1751015.3%
 
1850115.3%
 
1649955.2%
 
1948555.1%
 
1546304.9%
 
2045054.7%
 
1442184.4%
 
2141324.3%
 
1338214.0%
 
Other values (79)4811450.4%
 
ValueCountFrequency (%) 
060306.3%
 
132< 0.1%
 
21050.1%
 
33790.4%
 
48070.8%
 
ValueCountFrequency (%) 
9941< 0.1%
 
882< 0.1%
 
861< 0.1%
 
851< 0.1%
 
841< 0.1%
 

VC3
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.37561313
Minimum0
Maximum99
Zeros2912
Zeros (%)3.1%
Memory size745.4 KiB
2020-12-15T13:44:39.553977image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q122
median32
Q343
95-th percentile64
Maximum99
Range99
Interquartile range (IQR)21

Descriptive statistics

Standard deviation17.05201633
Coefficient of variation (CV)0.5109124517
Kurtosis0.5767674466
Mean33.37561313
Median Absolute Deviation (MAD)11
Skewness0.5154004847
Sum3184434
Variance290.7712609
MonotocityNot monotonic
2020-12-15T13:44:39.769276image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
029123.1%
 
3225722.7%
 
3324672.6%
 
2824522.6%
 
3624422.6%
 
3124322.5%
 
3524052.5%
 
2923832.5%
 
3423782.5%
 
3023382.5%
 
Other values (90)7063174.0%
 
ValueCountFrequency (%) 
029123.1%
 
133< 0.1%
 
2870.1%
 
31760.2%
 
43110.3%
 
ValueCountFrequency (%) 
991930.2%
 
986< 0.1%
 
975< 0.1%
 
9627< 0.1%
 
957< 0.1%
 

VC4
Real number (ℝ≥0)

ZEROS

Distinct97
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.31413239
Minimum0
Maximum99
Zeros16207
Zeros (%)17.0%
Memory size745.4 KiB
2020-12-15T13:44:39.939665image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median9
Q316
95-th percentile31
Maximum99
Range99
Interquartile range (IQR)12

Descriptive statistics

Standard deviation10.71399589
Coefficient of variation (CV)0.9469569134
Kurtosis8.226432652
Mean11.31413239
Median Absolute Deviation (MAD)6
Skewness2.068832797
Sum1079504
Variance114.7897079
MonotocityNot monotonic
2020-12-15T13:44:40.102614image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01620717.0%
 
850945.3%
 
747865.0%
 
946634.9%
 
646634.9%
 
1044804.7%
 
543294.5%
 
1140304.2%
 
1339104.1%
 
1238064.0%
 
Other values (87)3944441.3%
 
ValueCountFrequency (%) 
01620717.0%
 
16910.7%
 
218541.9%
 
330433.2%
 
437223.9%
 
ValueCountFrequency (%) 
99630.1%
 
961< 0.1%
 
942< 0.1%
 
932< 0.1%
 
925< 0.1%
 

ANC1
Real number (ℝ≥0)

ZEROS

Distinct68
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7195740578
Minimum0
Maximum83
Zeros56027
Zeros (%)58.7%
Memory size745.4 KiB
2020-12-15T13:44:40.266197image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum83
Range83
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.294499419
Coefficient of variation (CV)3.188691135
Kurtosis316.2911624
Mean0.7195740578
Median Absolute Deviation (MAD)0
Skewness15.0792225
Sum68656
Variance5.264727584
MonotocityNot monotonic
2020-12-15T13:44:40.417160image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
05602758.7%
 
12951130.9%
 
259216.2%
 
317471.8%
 
47170.8%
 
53990.4%
 
62000.2%
 
71060.1%
 
9990.1%
 
8880.1%
 
Other values (58)5970.6%
 
ValueCountFrequency (%) 
05602758.7%
 
12951130.9%
 
259216.2%
 
317471.8%
 
47170.8%
 
ValueCountFrequency (%) 
831< 0.1%
 
714< 0.1%
 
702< 0.1%
 
681< 0.1%
 
673< 0.1%
 

ANC2
Real number (ℝ≥0)

ZEROS

Distinct54
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.471565422
Minimum0
Maximum99
Zeros7156
Zeros (%)7.5%
Memory size745.4 KiB
2020-12-15T13:44:40.576543image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q38
95-th percentile13
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.268972195
Coefficient of variation (CV)0.7802103907
Kurtosis11.74392645
Mean5.471565422
Median Absolute Deviation (MAD)3
Skewness1.925950752
Sum522053
Variance18.2241236
MonotocityNot monotonic
2020-12-15T13:44:40.738293image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
41051811.0%
 
51030010.8%
 
3998110.5%
 
290719.5%
 
690039.4%
 
178888.3%
 
774887.8%
 
071567.5%
 
861096.4%
 
946464.9%
 
Other values (44)1325213.9%
 
ValueCountFrequency (%) 
071567.5%
 
178888.3%
 
290719.5%
 
3998110.5%
 
41051811.0%
 
ValueCountFrequency (%) 
992< 0.1%
 
612< 0.1%
 
571< 0.1%
 
511< 0.1%
 
502< 0.1%
 

ANC3
Real number (ℝ≥0)

ZEROS

Distinct31
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8659497757
Minimum0
Maximum31
Zeros43506
Zeros (%)45.6%
Memory size745.4 KiB
2020-12-15T13:44:40.889715image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum31
Range31
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.360590629
Coefficient of variation (CV)1.571211942
Kurtosis53.29948158
Mean0.8659497757
Median Absolute Deviation (MAD)1
Skewness5.316383453
Sum82622
Variance1.851206859
MonotocityNot monotonic
2020-12-15T13:44:41.017268image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%) 
04350645.6%
 
13646038.2%
 
2973810.2%
 
328403.0%
 
411061.2%
 
55340.6%
 
63100.3%
 
72300.2%
 
81770.2%
 
91470.2%
 
Other values (21)3640.4%
 
ValueCountFrequency (%) 
04350645.6%
 
13646038.2%
 
2973810.2%
 
328403.0%
 
411061.2%
 
ValueCountFrequency (%) 
311< 0.1%
 
301< 0.1%
 
291< 0.1%
 
271< 0.1%
 
261< 0.1%
 

ANC4
Real number (ℝ≥0)

ZEROS

Distinct82
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.16994718
Minimum0
Maximum92
Zeros3969
Zeros (%)4.2%
Memory size745.4 KiB
2020-12-15T13:44:41.164048image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median8
Q313
95-th percentile26
Maximum92
Range92
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.273017212
Coefficient of variation (CV)0.8134769108
Kurtosis7.970032705
Mean10.16994718
Median Absolute Deviation (MAD)4
Skewness2.217877173
Sum970335
Variance68.44281379
MonotocityNot monotonic
2020-12-15T13:44:41.318941image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
773907.7%
 
872677.6%
 
670107.3%
 
564556.8%
 
963736.7%
 
1060416.3%
 
455525.8%
 
1150095.2%
 
346694.9%
 
1241644.4%
 
Other values (72)3548237.2%
 
ValueCountFrequency (%) 
039694.2%
 
127302.9%
 
235773.7%
 
346694.9%
 
455525.8%
 
ValueCountFrequency (%) 
921< 0.1%
 
831< 0.1%
 
804< 0.1%
 
784< 0.1%
 
771< 0.1%
 

ANC5
Real number (ℝ≥0)

ZEROS

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1906363979
Minimum0
Maximum47
Zeros83321
Zeros (%)87.3%
Memory size745.4 KiB
2020-12-15T13:44:41.456041image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum47
Range47
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7075069788
Coefficient of variation (CV)3.711290113
Kurtosis418.1678104
Mean0.1906363979
Median Absolute Deviation (MAD)0
Skewness12.51637628
Sum18189
Variance0.5005661251
MonotocityNot monotonic
2020-12-15T13:44:41.576518image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
08332187.3%
 
190659.5%
 
217791.9%
 
35860.6%
 
42840.3%
 
51670.2%
 
6610.1%
 
7610.1%
 
830< 0.1%
 
1018< 0.1%
 
Other values (16)40< 0.1%
 
ValueCountFrequency (%) 
08332187.3%
 
190659.5%
 
217791.9%
 
35860.6%
 
42840.3%
 
ValueCountFrequency (%) 
471< 0.1%
 
341< 0.1%
 
321< 0.1%
 
251< 0.1%
 
241< 0.1%
 

ANC6
Real number (ℝ≥0)

ZEROS

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1775458014
Minimum0
Maximum14
Zeros82367
Zeros (%)86.3%
Memory size745.4 KiB
2020-12-15T13:44:41.687546image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.5330900397
Coefficient of variation (CV)3.002549402
Kurtosis50.44043432
Mean0.1775458014
Median Absolute Deviation (MAD)0
Skewness5.210969891
Sum16940
Variance0.2841849905
MonotocityNot monotonic
2020-12-15T13:44:41.797636image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%) 
08236786.3%
 
11052211.0%
 
217711.9%
 
34410.5%
 
41730.2%
 
5620.1%
 
635< 0.1%
 
719< 0.1%
 
89< 0.1%
 
95< 0.1%
 
Other values (4)8< 0.1%
 
ValueCountFrequency (%) 
08236786.3%
 
11052211.0%
 
217711.9%
 
34410.5%
 
41730.2%
 
ValueCountFrequency (%) 
142< 0.1%
 
121< 0.1%
 
111< 0.1%
 
104< 0.1%
 
95< 0.1%
 

ANC7
Real number (ℝ≥0)

ZEROS

Distinct43
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.850500985
Minimum0
Maximum99
Zeros5819
Zeros (%)6.1%
Memory size745.4 KiB
2020-12-15T13:44:41.943363image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median4
Q37
95-th percentile11
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.321778983
Coefficient of variation (CV)0.6848321428
Kurtosis12.04782744
Mean4.850500985
Median Absolute Deviation (MAD)2
Skewness1.598208733
Sum462796
Variance11.03421562
MonotocityNot monotonic
2020-12-15T13:44:42.091778image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%) 
41314013.8%
 
31274613.4%
 
51231212.9%
 
21011010.6%
 
6990510.4%
 
774997.9%
 
170947.4%
 
058196.1%
 
853455.6%
 
936543.8%
 
Other values (33)77888.2%
 
ValueCountFrequency (%) 
058196.1%
 
170947.4%
 
21011010.6%
 
31274613.4%
 
41314013.8%
 
ValueCountFrequency (%) 
991< 0.1%
 
492< 0.1%
 
481< 0.1%
 
451< 0.1%
 
441< 0.1%
 

ANC8
Real number (ℝ≥0)

ZEROS

Distinct42
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.807256949
Minimum0
Maximum55
Zeros32602
Zeros (%)34.2%
Memory size745.4 KiB
2020-12-15T13:44:42.235291image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile6
Maximum55
Range55
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.503595962
Coefficient of variation (CV)1.38530161
Kurtosis24.81463479
Mean1.807256949
Median Absolute Deviation (MAD)1
Skewness3.527808792
Sum172434
Variance6.26799274
MonotocityNot monotonic
2020-12-15T13:44:42.371294image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%) 
03260234.2%
 
12542226.6%
 
21387114.5%
 
385459.0%
 
451785.4%
 
533233.5%
 
619792.1%
 
712941.4%
 
89081.0%
 
96360.7%
 
Other values (32)16541.7%
 
ValueCountFrequency (%) 
03260234.2%
 
12542226.6%
 
21387114.5%
 
385459.0%
 
451785.4%
 
ValueCountFrequency (%) 
551< 0.1%
 
452< 0.1%
 
431< 0.1%
 
402< 0.1%
 
391< 0.1%
 

ANC9
Real number (ℝ≥0)

ZEROS

Distinct52
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7759925376
Minimum0
Maximum68
Zeros63082
Zeros (%)66.1%
Memory size745.4 KiB
2020-12-15T13:44:42.526038image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum68
Range68
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.139899774
Coefficient of variation (CV)2.757629321
Kurtosis131.8002079
Mean0.7759925376
Median Absolute Deviation (MAD)0
Skewness8.850138906
Sum74039
Variance4.579171044
MonotocityNot monotonic
2020-12-15T13:44:42.682137image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
06308266.1%
 
11924420.2%
 
256605.9%
 
326302.8%
 
415101.6%
 
59591.0%
 
65900.6%
 
74030.4%
 
83200.3%
 
91990.2%
 
Other values (42)8150.9%
 
ValueCountFrequency (%) 
06308266.1%
 
11924420.2%
 
256605.9%
 
326302.8%
 
415101.6%
 
ValueCountFrequency (%) 
681< 0.1%
 
571< 0.1%
 
552< 0.1%
 
542< 0.1%
 
521< 0.1%
 

ANC10
Real number (ℝ≥0)

ZEROS

Distinct60
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.333239006
Minimum0
Maximum99
Zeros46980
Zeros (%)49.2%
Memory size745.4 KiB
2020-12-15T13:44:42.867842image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile5
Maximum99
Range99
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.882133011
Coefficient of variation (CV)2.161752693
Kurtosis88.13151556
Mean1.333239006
Median Absolute Deviation (MAD)1
Skewness6.930420332
Sum127207
Variance8.306690694
MonotocityNot monotonic
2020-12-15T13:44:43.033792image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
04698049.2%
 
12554626.8%
 
2961510.1%
 
343564.6%
 
425812.7%
 
515791.7%
 
611171.2%
 
77410.8%
 
85560.6%
 
94620.5%
 
Other values (50)18792.0%
 
ValueCountFrequency (%) 
04698049.2%
 
12554626.8%
 
2961510.1%
 
343564.6%
 
425812.7%
 
ValueCountFrequency (%) 
991< 0.1%
 
741< 0.1%
 
712< 0.1%
 
653< 0.1%
 
631< 0.1%
 

ANC11
Real number (ℝ≥0)

ZEROS

Distinct33
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1679138892
Minimum0
Maximum43
Zeros86841
Zeros (%)91.0%
Memory size745.4 KiB
2020-12-15T13:44:43.204946image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum43
Range43
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8663436476
Coefficient of variation (CV)5.159451976
Kurtosis423.4779359
Mean0.1679138892
Median Absolute Deviation (MAD)0
Skewness15.33723242
Sum16021
Variance0.7505513157
MonotocityNot monotonic
2020-12-15T13:44:43.334334image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%) 
08684191.0%
 
157606.0%
 
213941.5%
 
35840.6%
 
42830.3%
 
51520.2%
 
61280.1%
 
8660.1%
 
7580.1%
 
932< 0.1%
 
Other values (23)1140.1%
 
ValueCountFrequency (%) 
08684191.0%
 
157606.0%
 
213941.5%
 
35840.6%
 
42830.3%
 
ValueCountFrequency (%) 
431< 0.1%
 
411< 0.1%
 
381< 0.1%
 
353< 0.1%
 
312< 0.1%
 

ANC12
Real number (ℝ≥0)

ZEROS

Distinct30
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3962499476
Minimum0
Maximum52
Zeros78328
Zeros (%)82.1%
Memory size745.4 KiB
2020-12-15T13:44:43.462996image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum52
Range52
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.426360099
Coefficient of variation (CV)3.599647413
Kurtosis97.80670608
Mean0.3962499476
Median Absolute Deviation (MAD)0
Skewness7.855892173
Sum37807
Variance2.034503131
MonotocityNot monotonic
2020-12-15T13:44:43.597416image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%) 
07832882.1%
 
11077711.3%
 
227062.8%
 
311631.2%
 
46260.7%
 
54370.5%
 
62910.3%
 
72500.3%
 
81560.2%
 
91310.1%
 
Other values (20)5470.6%
 
ValueCountFrequency (%) 
07832882.1%
 
11077711.3%
 
227062.8%
 
311631.2%
 
46260.7%
 
ValueCountFrequency (%) 
521< 0.1%
 
451< 0.1%
 
304< 0.1%
 
261< 0.1%
 
251< 0.1%
 

ANC13
Real number (ℝ≥0)

ZEROS

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7267010439
Minimum0
Maximum50
Zeros47175
Zeros (%)49.4%
Memory size745.4 KiB
2020-12-15T13:44:43.719677image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum50
Range50
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9773801697
Coefficient of variation (CV)1.344954955
Kurtosis85.14669981
Mean0.7267010439
Median Absolute Deviation (MAD)1
Skewness3.941110793
Sum69336
Variance0.9552719961
MonotocityNot monotonic
2020-12-15T13:44:43.842617image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%) 
04717549.4%
 
13445836.1%
 
294569.9%
 
327932.9%
 
48850.9%
 
53260.3%
 
61530.2%
 
7700.1%
 
834< 0.1%
 
920< 0.1%
 
Other values (9)42< 0.1%
 
ValueCountFrequency (%) 
04717549.4%
 
13445836.1%
 
294569.9%
 
327932.9%
 
48850.9%
 
ValueCountFrequency (%) 
501< 0.1%
 
191< 0.1%
 
181< 0.1%
 
175< 0.1%
 
162< 0.1%
 

ANC14
Real number (ℝ≥0)

ZEROS

Distinct26
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7265333501
Minimum0
Maximum27
Zeros54380
Zeros (%)57.0%
Memory size745.4 KiB
2020-12-15T13:44:43.962286image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum27
Range27
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.263605804
Coefficient of variation (CV)1.739226153
Kurtosis37.61126632
Mean0.7265333501
Median Absolute Deviation (MAD)0
Skewness4.357869474
Sum69320
Variance1.596699628
MonotocityNot monotonic
2020-12-15T13:44:44.097222image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%) 
05438057.0%
 
12680928.1%
 
280538.4%
 
331313.3%
 
413641.4%
 
57050.7%
 
63260.3%
 
72280.2%
 
81370.1%
 
9800.1%
 
Other values (16)1990.2%
 
ValueCountFrequency (%) 
05438057.0%
 
12680928.1%
 
280538.4%
 
331313.3%
 
413641.4%
 
ValueCountFrequency (%) 
272< 0.1%
 
251< 0.1%
 
233< 0.1%
 
221< 0.1%
 
211< 0.1%
 

ANC15
Real number (ℝ≥0)

ZEROS

Distinct17
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07822915357
Minimum0
Maximum32
Zeros89549
Zeros (%)93.9%
Memory size745.4 KiB
2020-12-15T13:44:44.223380image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum32
Range32
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3881153818
Coefficient of variation (CV)4.961262702
Kurtosis727.0295561
Mean0.07822915357
Median Absolute Deviation (MAD)0
Skewness15.94813962
Sum7464
Variance0.1506335496
MonotocityNot monotonic
2020-12-15T13:44:44.331564image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%) 
08954993.9%
 
149035.1%
 
26710.7%
 
31700.2%
 
4540.1%
 
525< 0.1%
 
615< 0.1%
 
77< 0.1%
 
84< 0.1%
 
124< 0.1%
 
Other values (7)10< 0.1%
 
ValueCountFrequency (%) 
08954993.9%
 
149035.1%
 
26710.7%
 
31700.2%
 
4540.1%
 
ValueCountFrequency (%) 
321< 0.1%
 
201< 0.1%
 
161< 0.1%
 
141< 0.1%
 
132< 0.1%
 

POBC1
Real number (ℝ≥0)

ZEROS

Distinct88
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.62500524
Minimum0
Maximum99
Zeros16115
Zeros (%)16.9%
Memory size745.4 KiB
2020-12-15T13:44:44.472113image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q38
95-th percentile26
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation9.646192003
Coefficient of variation (CV)1.45602783
Kurtosis11.4464553
Mean6.62500524
Median Absolute Deviation (MAD)3
Skewness2.971260051
Sum632105
Variance93.04902016
MonotocityNot monotonic
2020-12-15T13:44:44.635505image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01611516.9%
 
11584716.6%
 
21024110.7%
 
381718.6%
 
463206.6%
 
551375.4%
 
644614.7%
 
736163.8%
 
829643.1%
 
925492.7%
 
Other values (78)1999121.0%
 
ValueCountFrequency (%) 
01611516.9%
 
11584716.6%
 
21024110.7%
 
381718.6%
 
463206.6%
 
ValueCountFrequency (%) 
991< 0.1%
 
902< 0.1%
 
864< 0.1%
 
852< 0.1%
 
846< 0.1%
 

POBC2
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.03259548
Minimum0
Maximum99
Zeros1038
Zeros (%)1.1%
Memory size745.4 KiB
2020-12-15T13:44:44.798028image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17
Q142
median59
Q375
95-th percentile87
Maximum99
Range99
Interquartile range (IQR)33

Descriptive statistics

Standard deviation21.78022887
Coefficient of variation (CV)0.3818908939
Kurtosis-0.438500419
Mean57.03259548
Median Absolute Deviation (MAD)16
Skewness-0.4915141238
Sum5441594
Variance474.3783697
MonotocityNot monotonic
2020-12-15T13:44:44.958126image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
8017691.9%
 
7917281.8%
 
8117121.8%
 
8216521.7%
 
7616291.7%
 
5716111.7%
 
8316071.7%
 
7516011.7%
 
7815961.7%
 
8415881.7%
 
Other values (90)7891982.7%
 
ValueCountFrequency (%) 
010381.1%
 
11160.1%
 
21200.1%
 
31290.1%
 
41120.1%
 
ValueCountFrequency (%) 
9931< 0.1%
 
9823< 0.1%
 
97510.1%
 
961050.1%
 
951160.1%
 

LSC1
Real number (ℝ≥0)

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.76286002
Minimum0
Maximum99
Zeros860
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:44:45.121158image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile54
Q186
median94
Q397
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)11

Descriptive statistics

Standard deviation16.63008322
Coefficient of variation (CV)0.1894888477
Kurtosis10.31532674
Mean87.76286002
Median Absolute Deviation (MAD)4
Skewness-2.995109723
Sum8373630
Variance276.5596679
MonotocityNot monotonic
2020-12-15T13:44:45.291168image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
98992110.4%
 
97983010.3%
 
9987949.2%
 
9679768.4%
 
9567767.1%
 
9455225.8%
 
9348625.1%
 
9241254.3%
 
9134113.6%
 
9029423.1%
 
Other values (90)3125332.8%
 
ValueCountFrequency (%) 
08600.9%
 
15< 0.1%
 
213< 0.1%
 
319< 0.1%
 
424< 0.1%
 
ValueCountFrequency (%) 
9987949.2%
 
98992110.4%
 
97983010.3%
 
9679768.4%
 
9567767.1%
 

LSC2
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.985557372
Minimum0
Maximum99
Zeros19000
Zeros (%)19.9%
Memory size745.4 KiB
2020-12-15T13:44:45.463868image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile27
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation12.04372995
Coefficient of variation (CV)2.012131737
Kurtosis19.63886946
Mean5.985557372
Median Absolute Deviation (MAD)2
Skewness4.079298865
Sum571094
Variance145.0514312
MonotocityNot monotonic
2020-12-15T13:44:45.633260image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
12305424.2%
 
01900019.9%
 
21322813.9%
 
376688.0%
 
452465.5%
 
538924.1%
 
629563.1%
 
722642.4%
 
819352.0%
 
915301.6%
 
Other values (90)1463915.3%
 
ValueCountFrequency (%) 
01900019.9%
 
12305424.2%
 
21322813.9%
 
376688.0%
 
452465.5%
 
ValueCountFrequency (%) 
999< 0.1%
 
9814< 0.1%
 
9711< 0.1%
 
9618< 0.1%
 
9513< 0.1%
 

LSC3
Real number (ℝ≥0)

ZEROS

Distinct71
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.873265417
Minimum0
Maximum99
Zeros57072
Zeros (%)59.8%
Memory size745.4 KiB
2020-12-15T13:44:45.796436image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile9
Maximum99
Range99
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.890662413
Coefficient of variation (CV)2.610768537
Kurtosis40.57758887
Mean1.873265417
Median Absolute Deviation (MAD)0
Skewness5.441939146
Sum178732
Variance23.91857884
MonotocityNot monotonic
2020-12-15T13:44:45.964896image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
05707259.8%
 
11399514.7%
 
269947.3%
 
342334.4%
 
427802.9%
 
517921.9%
 
612931.4%
 
711431.2%
 
88220.9%
 
97080.7%
 
Other values (61)45804.8%
 
ValueCountFrequency (%) 
05707259.8%
 
11399514.7%
 
269947.3%
 
342334.4%
 
427802.9%
 
ValueCountFrequency (%) 
991< 0.1%
 
801< 0.1%
 
742< 0.1%
 
713< 0.1%
 
702< 0.1%
 

LSC4
Real number (ℝ≥0)

ZEROS

Distinct79
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.45415671
Minimum0
Maximum99
Zeros13470
Zeros (%)14.1%
Memory size745.4 KiB
2020-12-15T13:44:46.137027image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile11
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.503741004
Coefficient of variation (CV)1.303861226
Kurtosis48.11457785
Mean3.45415671
Median Absolute Deviation (MAD)1
Skewness5.013634764
Sum329568
Variance20.28368303
MonotocityNot monotonic
2020-12-15T13:44:46.304322image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
12112322.1%
 
21730418.1%
 
01347014.1%
 
31215612.7%
 
487869.2%
 
558496.1%
 
640424.2%
 
730183.2%
 
821562.3%
 
914791.6%
 
Other values (69)60296.3%
 
ValueCountFrequency (%) 
01347014.1%
 
12112322.1%
 
21730418.1%
 
31215612.7%
 
487869.2%
 
ValueCountFrequency (%) 
991< 0.1%
 
961< 0.1%
 
921< 0.1%
 
905< 0.1%
 
841< 0.1%
 

VOC1
Real number (ℝ≥0)

Distinct93
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.780667
Minimum0
Maximum99
Zeros897
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:44:46.471575image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile74
Q190
median95
Q398
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation12.52238754
Coefficient of variation (CV)0.1364381841
Kurtosis28.10327865
Mean91.780667
Median Absolute Deviation (MAD)4
Skewness-4.684198159
Sum8756977
Variance156.8101898
MonotocityNot monotonic
2020-12-15T13:44:46.634178image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
992109622.1%
 
98954910.0%
 
9784618.9%
 
9677638.1%
 
9564766.8%
 
9456685.9%
 
9348385.1%
 
9240854.3%
 
9135633.7%
 
9031463.3%
 
Other values (83)2076721.8%
 
ValueCountFrequency (%) 
08970.9%
 
77< 0.1%
 
91< 0.1%
 
108< 0.1%
 
112< 0.1%
 
ValueCountFrequency (%) 
992109622.1%
 
98954910.0%
 
9784618.9%
 
9677638.1%
 
9564766.8%
 

VOC2
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.37664025
Minimum0
Maximum99
Zeros983
Zeros (%)1.0%
Memory size745.4 KiB
2020-12-15T13:44:46.797459image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25
Q150
median62
Q374
95-th percentile87
Maximum99
Range99
Interquartile range (IQR)24

Descriptive statistics

Standard deviation18.80231995
Coefficient of variation (CV)0.3114171287
Kurtosis0.5124902232
Mean60.37664025
Median Absolute Deviation (MAD)12
Skewness-0.7055436877
Sum5760656
Variance353.5272354
MonotocityNot monotonic
2020-12-15T13:44:46.951745image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
6221922.3%
 
6421782.3%
 
6121642.3%
 
6721592.3%
 
6521472.3%
 
6621402.2%
 
6320812.2%
 
7020732.2%
 
6920672.2%
 
6820662.2%
 
Other values (90)7414577.7%
 
ValueCountFrequency (%) 
09831.0%
 
130< 0.1%
 
230< 0.1%
 
3590.1%
 
444< 0.1%
 
ValueCountFrequency (%) 
991270.1%
 
9846< 0.1%
 
971020.1%
 
961370.1%
 
951780.2%
 

VOC3
Real number (ℝ≥0)

ZEROS

Distinct78
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.01447407
Minimum0
Maximum99
Zeros2161
Zeros (%)2.3%
Memory size745.4 KiB
2020-12-15T13:44:47.113181image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q112
median19
Q327
95-th percentile39
Maximum99
Range99
Interquartile range (IQR)15

Descriptive statistics

Standard deviation10.8517761
Coefficient of variation (CV)0.5421964154
Kurtosis0.4603880467
Mean20.01447407
Median Absolute Deviation (MAD)7
Skewness0.5201953505
Sum1909621
Variance117.7610444
MonotocityNot monotonic
2020-12-15T13:44:47.286362image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1936883.9%
 
1836093.8%
 
1635813.8%
 
1735153.7%
 
2034963.7%
 
1534933.7%
 
2332923.5%
 
2232573.4%
 
1432493.4%
 
2132443.4%
 
Other values (68)6098863.9%
 
ValueCountFrequency (%) 
021612.3%
 
16210.7%
 
29371.0%
 
311781.2%
 
412451.3%
 
ValueCountFrequency (%) 
999< 0.1%
 
871< 0.1%
 
812< 0.1%
 
791< 0.1%
 
752< 0.1%
 

HC1
Real number (ℝ≥0)

ZEROS

Distinct32
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.86174695
Minimum0
Maximum31
Zeros970
Zeros (%)1.0%
Memory size745.4 KiB
2020-12-15T13:44:49.129418image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q39
95-th percentile14
Maximum31
Range31
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.995041135
Coefficient of variation (CV)0.5822192459
Kurtosis1.910414538
Mean6.86174695
Median Absolute Deviation (MAD)2
Skewness1.145061566
Sum654693
Variance15.96035367
MonotocityNot monotonic
2020-12-15T13:44:49.272441image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%) 
51510015.8%
 
41404614.7%
 
390649.5%
 
774677.8%
 
673217.7%
 
872997.6%
 
963356.6%
 
1050485.3%
 
1140734.3%
 
239324.1%
 
Other values (22)1572716.5%
 
ValueCountFrequency (%) 
09701.0%
 
124822.6%
 
239324.1%
 
390649.5%
 
41404614.7%
 
ValueCountFrequency (%) 
3113< 0.1%
 
3030< 0.1%
 
2914< 0.1%
 
289< 0.1%
 
2720< 0.1%
 

HC2
Real number (ℝ≥0)

Distinct53
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.87549784
Minimum0
Maximum52
Zeros877
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:44:49.430681image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q115
median21
Q333
95-th percentile51
Maximum52
Range52
Interquartile range (IQR)18

Descriptive statistics

Standard deviation12.53229472
Coefficient of variation (CV)0.5249019225
Kurtosis-0.45732267
Mean23.87549784
Median Absolute Deviation (MAD)8
Skewness0.5163770959
Sum2278009
Variance157.0584109
MonotocityNot monotonic
2020-12-15T13:44:49.597812image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
5148935.1%
 
1642734.5%
 
1740374.2%
 
1839114.1%
 
1937443.9%
 
2035333.7%
 
1534533.6%
 
1429713.1%
 
2128403.0%
 
2527432.9%
 
Other values (43)5901461.9%
 
ValueCountFrequency (%) 
08770.9%
 
1880.1%
 
21590.2%
 
32710.3%
 
411301.2%
 
ValueCountFrequency (%) 
521270.1%
 
5148935.1%
 
504110.4%
 
493980.4%
 
484760.5%
 

HC3
Real number (ℝ≥0)

ZEROS

Distinct83
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.589800025
Minimum0
Maximum99
Zeros49919
Zeros (%)52.3%
Memory size745.4 KiB
2020-12-15T13:44:49.759245image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile11
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.991168166
Coefficient of variation (CV)2.313370958
Kurtosis74.76612227
Mean2.589800025
Median Absolute Deviation (MAD)0
Skewness6.843004868
Sum247098
Variance35.894096
MonotocityNot monotonic
2020-12-15T13:44:49.921665image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
04991952.3%
 
293019.7%
 
189939.4%
 
366316.9%
 
447525.0%
 
532803.4%
 
622652.4%
 
718011.9%
 
813991.5%
 
910051.1%
 
Other values (73)60666.4%
 
ValueCountFrequency (%) 
04991952.3%
 
189939.4%
 
293019.7%
 
366316.9%
 
447525.0%
 
ValueCountFrequency (%) 
9920< 0.1%
 
9840< 0.1%
 
961< 0.1%
 
941< 0.1%
 
933< 0.1%
 

HC4
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.40979122
Minimum0
Maximum99
Zeros26755
Zeros (%)28.0%
Memory size745.4 KiB
2020-12-15T13:44:50.081618image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q317
95-th percentile48
Maximum99
Range99
Interquartile range (IQR)17

Descriptive statistics

Standard deviation17.00474585
Coefficient of variation (CV)1.370268488
Kurtosis6.206998031
Mean12.40979122
Median Absolute Deviation (MAD)6
Skewness2.303799921
Sum1184043
Variance289.1613815
MonotocityNot monotonic
2020-12-15T13:44:50.240776image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
02675528.0%
 
242814.5%
 
340584.3%
 
436343.8%
 
533503.5%
 
632803.4%
 
729713.1%
 
828763.0%
 
927112.8%
 
125912.7%
 
Other values (90)3890540.8%
 
ValueCountFrequency (%) 
02675528.0%
 
125912.7%
 
242814.5%
 
340584.3%
 
436343.8%
 
ValueCountFrequency (%) 
992530.3%
 
98600.1%
 
9742< 0.1%
 
9625< 0.1%
 
9542< 0.1%
 

HC5
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.69477634
Minimum0
Maximum99
Zeros18117
Zeros (%)19.0%
Memory size745.4 KiB
2020-12-15T13:44:50.399760image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median16
Q334
95-th percentile76
Maximum99
Range99
Interquartile range (IQR)31

Descriptive statistics

Standard deviation23.9221607
Coefficient of variation (CV)1.054082241
Kurtosis1.186702277
Mean22.69477634
Median Absolute Deviation (MAD)14
Skewness1.307911533
Sum2165354
Variance572.2697726
MonotocityNot monotonic
2020-12-15T13:44:50.562105image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01811719.0%
 
325562.7%
 
225272.6%
 
423972.5%
 
521812.3%
 
620672.2%
 
819932.1%
 
719352.0%
 
919042.0%
 
1018581.9%
 
Other values (90)5787760.7%
 
ValueCountFrequency (%) 
01811719.0%
 
112621.3%
 
225272.6%
 
325562.7%
 
423972.5%
 
ValueCountFrequency (%) 
999391.0%
 
982120.2%
 
971210.1%
 
961750.2%
 
951570.2%
 

HC6
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.02368675
Minimum0
Maximum99
Zeros8767
Zeros (%)9.2%
Memory size745.4 KiB
2020-12-15T13:44:50.724865image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116
median46
Q373
95-th percentile98
Maximum99
Range99
Interquartile range (IQR)57

Descriptive statistics

Standard deviation32.03781175
Coefficient of variation (CV)0.6961157182
Kurtosis-1.237473275
Mean46.02368675
Median Absolute Deviation (MAD)28
Skewness0.09478358174
Sum4391212
Variance1026.421382
MonotocityNot monotonic
2020-12-15T13:44:50.879046image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
087679.2%
 
9946134.8%
 
313891.5%
 
512841.3%
 
412731.3%
 
212181.3%
 
611621.2%
 
5410941.1%
 
9810891.1%
 
4810641.1%
 
Other values (90)7245975.9%
 
ValueCountFrequency (%) 
087679.2%
 
13920.4%
 
212181.3%
 
313891.5%
 
412731.3%
 
ValueCountFrequency (%) 
9946134.8%
 
9810891.1%
 
979421.0%
 
969581.0%
 
958020.8%
 

HC7
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.41453905
Minimum0
Maximum99
Zeros4089
Zeros (%)4.3%
Memory size745.4 KiB
2020-12-15T13:44:51.033920image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q138
median70
Q391
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)53

Descriptive statistics

Standard deviation31.74701814
Coefficient of variation (CV)0.5086478026
Kurtosis-0.957179748
Mean62.41453905
Median Absolute Deviation (MAD)24
Skewness-0.5652442302
Sum5955096
Variance1007.873161
MonotocityNot monotonic
2020-12-15T13:44:51.192689image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
991129011.8%
 
040894.3%
 
9824152.5%
 
9720672.2%
 
9618752.0%
 
9416591.7%
 
9516301.7%
 
9314481.5%
 
9214141.5%
 
9013131.4%
 
Other values (90)6621269.4%
 
ValueCountFrequency (%) 
040894.3%
 
1620.1%
 
24530.5%
 
36510.7%
 
46400.7%
 
ValueCountFrequency (%) 
991129011.8%
 
9824152.5%
 
9720672.2%
 
9618752.0%
 
9516301.7%
 

HC8
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.13353666
Minimum0
Maximum99
Zeros10198
Zeros (%)10.7%
Memory size745.4 KiB
2020-12-15T13:44:51.352760image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median29
Q360
95-th percentile95
Maximum99
Range99
Interquartile range (IQR)52

Descriptive statistics

Standard deviation31.24149214
Coefficient of variation (CV)0.8646120757
Kurtosis-0.9202107085
Mean36.13353666
Median Absolute Deviation (MAD)24
Skewness0.5797482414
Sum3447573
Variance976.0308309
MonotocityNot monotonic
2020-12-15T13:44:51.509471image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
01019810.7%
 
9928803.0%
 
224102.5%
 
123592.5%
 
320732.2%
 
418762.0%
 
616581.7%
 
516301.7%
 
714511.5%
 
814141.5%
 
Other values (90)6746370.7%
 
ValueCountFrequency (%) 
01019810.7%
 
123592.5%
 
224102.5%
 
320732.2%
 
418762.0%
 
ValueCountFrequency (%) 
9928803.0%
 
984570.5%
 
976480.7%
 
966420.7%
 
956130.6%
 

HC9
Real number (ℝ≥0)

ZEROS

Distinct87
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.74489582
Minimum0
Maximum90
Zeros69834
Zeros (%)73.2%
Memory size745.4 KiB
2020-12-15T13:44:51.668286image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile17
Maximum90
Range90
Interquartile range (IQR)1

Descriptive statistics

Standard deviation7.690676209
Coefficient of variation (CV)2.801809873
Kurtosis25.27824944
Mean2.74489582
Median Absolute Deviation (MAD)0
Skewness4.47106512
Sum261896
Variance59.14650055
MonotocityNot monotonic
2020-12-15T13:44:51.817669image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
06983473.2%
 
139264.1%
 
228683.0%
 
323002.4%
 
418281.9%
 
515341.6%
 
612231.3%
 
711631.2%
 
810131.1%
 
98710.9%
 
Other values (77)88529.3%
 
ValueCountFrequency (%) 
06983473.2%
 
139264.1%
 
228683.0%
 
323002.4%
 
418281.9%
 
ValueCountFrequency (%) 
901< 0.1%
 
895< 0.1%
 
884< 0.1%
 
842< 0.1%
 
825< 0.1%
 

HC10
Real number (ℝ≥0)

ZEROS

Distinct53
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.316343856
Minimum0
Maximum62
Zeros69372
Zeros (%)72.7%
Memory size745.4 KiB
2020-12-15T13:44:51.972667image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile8
Maximum62
Range62
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.410359814
Coefficient of variation (CV)2.590781883
Kurtosis32.05462184
Mean1.316343856
Median Absolute Deviation (MAD)0
Skewness4.628802501
Sum125595
Variance11.63055406
MonotocityNot monotonic
2020-12-15T13:44:52.124034image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
06937272.7%
 
162576.6%
 
246374.9%
 
333253.5%
 
425742.7%
 
518662.0%
 
614001.5%
 
710161.1%
 
89010.9%
 
97430.8%
 
Other values (43)33213.5%
 
ValueCountFrequency (%) 
06937272.7%
 
162576.6%
 
246374.9%
 
333253.5%
 
425742.7%
 
ValueCountFrequency (%) 
621< 0.1%
 
602< 0.1%
 
561< 0.1%
 
542< 0.1%
 
522< 0.1%
 

HC11
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.86981721
Minimum0
Maximum99
Zeros9588
Zeros (%)10.0%
Memory size745.4 KiB
2020-12-15T13:44:52.288463image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114
median59
Q386
95-th percentile97
Maximum99
Range99
Interquartile range (IQR)72

Descriptive statistics

Standard deviation35.64556734
Coefficient of variation (CV)0.6872121256
Kurtosis-1.490321784
Mean51.86981721
Median Absolute Deviation (MAD)31
Skewness-0.2372275984
Sum4949003
Variance1270.606471
MonotocityNot monotonic
2020-12-15T13:44:52.445737image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
0958810.0%
 
134643.6%
 
9926532.8%
 
222242.3%
 
9418722.0%
 
9518221.9%
 
9117911.9%
 
9617911.9%
 
9317541.8%
 
9217421.8%
 
Other values (90)6671169.9%
 
ValueCountFrequency (%) 
0958810.0%
 
134643.6%
 
222242.3%
 
314491.5%
 
410911.1%
 
ValueCountFrequency (%) 
9926532.8%
 
9816181.7%
 
9716921.8%
 
9617911.9%
 
9518221.9%
 

HC12
Real number (ℝ≥0)

ZEROS

Distinct92
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.878463925
Minimum0
Maximum99
Zeros35875
Zeros (%)37.6%
Memory size745.4 KiB
2020-12-15T13:44:52.603878image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q37
95-th percentile35
Maximum99
Range99
Interquartile range (IQR)7

Descriptive statistics

Standard deviation12.06832339
Coefficient of variation (CV)1.754508496
Kurtosis6.350377167
Mean6.878463925
Median Absolute Deviation (MAD)1
Skewness2.448975189
Sum656288
Variance145.6444295
MonotocityNot monotonic
2020-12-15T13:44:52.758704image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
03587537.6%
 
11219212.8%
 
290219.5%
 
352485.5%
 
436353.8%
 
525302.7%
 
620522.2%
 
715291.6%
 
813631.4%
 
912331.3%
 
Other values (82)2073421.7%
 
ValueCountFrequency (%) 
03587537.6%
 
11219212.8%
 
290219.5%
 
352485.5%
 
436353.8%
 
ValueCountFrequency (%) 
997< 0.1%
 
934< 0.1%
 
911< 0.1%
 
891< 0.1%
 
881< 0.1%
 

HC13
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.80200604
Minimum0
Maximum99
Zeros5739
Zeros (%)6.0%
Memory size745.4 KiB
2020-12-15T13:44:52.917477image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median20
Q345
95-th percentile91
Maximum99
Range99
Interquartile range (IQR)38

Descriptive statistics

Standard deviation27.97312263
Coefficient of variation (CV)0.9386322046
Kurtosis-0.08232321687
Mean29.80200604
Median Absolute Deviation (MAD)16
Skewness0.9961991329
Sum2843469
Variance782.4955896
MonotocityNot monotonic
2020-12-15T13:44:53.083124image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
057396.0%
 
330773.2%
 
230243.2%
 
528983.0%
 
428633.0%
 
627762.9%
 
725172.6%
 
824542.6%
 
924052.5%
 
1021042.2%
 
Other values (90)6555568.7%
 
ValueCountFrequency (%) 
057396.0%
 
116741.8%
 
230243.2%
 
330773.2%
 
428633.0%
 
ValueCountFrequency (%) 
9912701.3%
 
986410.7%
 
975510.6%
 
965880.6%
 
953740.4%
 

HC14
Real number (ℝ≥0)

ZEROS

Distinct98
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.558336478
Minimum0
Maximum99
Zeros52292
Zeros (%)54.8%
Memory size745.4 KiB
2020-12-15T13:44:53.250645image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q34
95-th percentile26
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation9.664121846
Coefficient of variation (CV)2.120098394
Kurtosis14.03250222
Mean4.558336478
Median Absolute Deviation (MAD)0
Skewness3.32476736
Sum434920
Variance93.39525106
MonotocityNot monotonic
2020-12-15T13:44:53.415397image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
05229254.8%
 
181438.5%
 
256786.0%
 
338614.0%
 
429733.1%
 
522352.3%
 
618922.0%
 
714731.5%
 
812681.3%
 
912081.3%
 
Other values (88)1438915.1%
 
ValueCountFrequency (%) 
05229254.8%
 
181438.5%
 
256786.0%
 
338614.0%
 
429733.1%
 
ValueCountFrequency (%) 
991< 0.1%
 
978< 0.1%
 
963< 0.1%
 
953< 0.1%
 
942< 0.1%
 

HC15
Real number (ℝ≥0)

SKEWED
ZEROS

Distinct16
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07096591624
Minimum0
Maximum30
Zeros91426
Zeros (%)95.8%
Memory size745.4 KiB
2020-12-15T13:44:53.561823image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum30
Range30
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4936261396
Coefficient of variation (CV)6.955820002
Kurtosis1183.393064
Mean0.07096591624
Median Absolute Deviation (MAD)0
Skewness24.18696945
Sum6771
Variance0.2436667657
MonotocityNot monotonic
2020-12-15T13:44:53.668327image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%) 
09142695.8%
 
125672.7%
 
28640.9%
 
32760.3%
 
41280.1%
 
5670.1%
 
630< 0.1%
 
719< 0.1%
 
810< 0.1%
 
99< 0.1%
 
Other values (6)16< 0.1%
 
ValueCountFrequency (%) 
09142695.8%
 
125672.7%
 
28640.9%
 
32760.3%
 
41280.1%
 
ValueCountFrequency (%) 
307< 0.1%
 
291< 0.1%
 
131< 0.1%
 
122< 0.1%
 
111< 0.1%
 

HC16
Real number (ℝ≥0)

ZEROS

Distinct92
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.298736008
Minimum0
Maximum99
Zeros42397
Zeros (%)44.4%
Memory size745.4 KiB
2020-12-15T13:44:53.812180image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile27
Maximum99
Range99
Interquartile range (IQR)5

Descriptive statistics

Standard deviation10.40312284
Coefficient of variation (CV)1.963321598
Kurtosis12.13648208
Mean5.298736008
Median Absolute Deviation (MAD)1
Skewness3.206059711
Sum505563
Variance108.2249649
MonotocityNot monotonic
2020-12-15T13:44:53.977628image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
04239744.4%
 
11020110.7%
 
278528.2%
 
352735.5%
 
436023.8%
 
530463.2%
 
622252.3%
 
718531.9%
 
815481.6%
 
1013941.5%
 
Other values (82)1602116.8%
 
ValueCountFrequency (%) 
04239744.4%
 
11020110.7%
 
278528.2%
 
352735.5%
 
436023.8%
 
ValueCountFrequency (%) 
991< 0.1%
 
941< 0.1%
 
911< 0.1%
 
902< 0.1%
 
894< 0.1%
 

HC17
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.63049721
Minimum0
Maximum99
Zeros2599
Zeros (%)2.7%
Memory size745.4 KiB
2020-12-15T13:44:54.135573image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q179
median99
Q399
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)20

Descriptive statistics

Standard deviation28.46529962
Coefficient of variation (CV)0.3444890275
Kurtosis1.94772121
Mean82.63049721
Median Absolute Deviation (MAD)0
Skewness-1.791230915
Sum7883941
Variance810.2732827
MonotocityNot monotonic
2020-12-15T13:44:54.299810image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
994991852.3%
 
9839884.2%
 
025992.7%
 
9725452.7%
 
9618371.9%
 
9515991.7%
 
9413211.4%
 
9312791.3%
 
9110141.1%
 
929711.0%
 
Other values (90)2834129.7%
 
ValueCountFrequency (%) 
025992.7%
 
15130.5%
 
24950.5%
 
33730.4%
 
42990.3%
 
ValueCountFrequency (%) 
994991852.3%
 
9839884.2%
 
9725452.7%
 
9618371.9%
 
9515991.7%
 

HC18
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.15286337
Minimum0
Maximum99
Zeros46610
Zeros (%)48.9%
Memory size745.4 KiB
2020-12-15T13:44:54.468803image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q317
95-th percentile86
Maximum99
Range99
Interquartile range (IQR)17

Descriptive statistics

Standard deviation26.70410762
Coefficient of variation (CV)1.762314287
Kurtosis2.510203203
Mean15.15286337
Median Absolute Deviation (MAD)1
Skewness1.908514572
Sum1445765
Variance713.1093636
MonotocityNot monotonic
2020-12-15T13:44:54.645057image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
04661048.9%
 
152545.5%
 
237784.0%
 
324962.6%
 
418561.9%
 
9915681.6%
 
515461.6%
 
613341.4%
 
712831.3%
 
810071.1%
 
Other values (90)2868030.1%
 
ValueCountFrequency (%) 
04661048.9%
 
152545.5%
 
237784.0%
 
324962.6%
 
418561.9%
 
ValueCountFrequency (%) 
9915681.6%
 
985300.6%
 
973860.4%
 
962950.3%
 
952710.3%
 

HC19
Real number (ℝ≥0)

ZEROS

Distinct100
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.94456672
Minimum0
Maximum99
Zeros3540
Zeros (%)3.7%
Memory size745.4 KiB
2020-12-15T13:44:54.813895image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q145
median95
Q399
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)54

Descriptive statistics

Standard deviation35.5810578
Coefficient of variation (CV)0.4945621249
Kurtosis-0.6611171925
Mean71.94456672
Median Absolute Deviation (MAD)4
Skewness-0.9777153077
Sum6864375
Variance1266.011674
MonotocityNot monotonic
2020-12-15T13:44:54.991906image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
993546237.2%
 
9850075.2%
 
035403.7%
 
9734453.6%
 
9623572.5%
 
9517881.9%
 
9414311.5%
 
213161.4%
 
112641.3%
 
311471.2%
 
Other values (90)3865540.5%
 
ValueCountFrequency (%) 
035403.7%
 
112641.3%
 
213161.4%
 
311471.2%
 
49451.0%
 
ValueCountFrequency (%) 
993546237.2%
 
9850075.2%
 
9734453.6%
 
9623572.5%
 
9517881.9%
 

HC20
Real number (ℝ≥0)

Distinct61
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.56156458
Minimum0
Maximum99
Zeros871
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:44:55.162082image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile95
Q199
median99
Q399
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.626052231
Coefficient of variation (CV)0.09866643972
Kurtosis94.49554204
Mean97.56156458
Median Absolute Deviation (MAD)0
Skewness-9.681437618
Sum9308544
Variance92.66088155
MonotocityNot monotonic
2020-12-15T13:44:55.321694image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
997787881.6%
 
9870327.4%
 
9737343.9%
 
9618702.0%
 
9511591.2%
 
08710.9%
 
948090.8%
 
935570.6%
 
923590.4%
 
912470.3%
 
Other values (51)8960.9%
 
ValueCountFrequency (%) 
08710.9%
 
81< 0.1%
 
111< 0.1%
 
148< 0.1%
 
181< 0.1%
 
ValueCountFrequency (%) 
997787881.6%
 
9870327.4%
 
9737343.9%
 
9618702.0%
 
9511591.2%
 

HC21
Real number (ℝ≥0)

Distinct77
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.39388127
Minimum0
Maximum99
Zeros885
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:44:55.483578image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile83
Q193
median98
Q399
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)6

Descriptive statistics

Standard deviation10.73967048
Coefficient of variation (CV)0.1137750703
Kurtosis53.55319227
Mean94.39388127
Median Absolute Deviation (MAD)1
Skewness-6.634366273
Sum9006309
Variance115.340522
MonotocityNot monotonic
2020-12-15T13:44:55.638301image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
993986441.8%
 
9894359.9%
 
9773197.7%
 
9657026.0%
 
9549725.2%
 
9439564.1%
 
9334163.6%
 
9229743.1%
 
9124712.6%
 
9021652.3%
 
Other values (67)1313813.8%
 
ValueCountFrequency (%) 
08850.9%
 
41< 0.1%
 
93< 0.1%
 
151< 0.1%
 
191< 0.1%
 
ValueCountFrequency (%) 
993986441.8%
 
9894359.9%
 
9773197.7%
 
9657026.0%
 
9549725.2%
 

MHUC1
Real number (ℝ≥0)

ZEROS

Distinct22
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.11283696
Minimum0
Maximum21
Zeros2380
Zeros (%)2.5%
Memory size745.4 KiB
2020-12-15T13:44:55.777629image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q16
median8
Q39
95-th percentile15
Maximum21
Range21
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.530980068
Coefficient of variation (CV)0.4352337026
Kurtosis2.103839876
Mean8.11283696
Median Absolute Deviation (MAD)2
Skewness0.9290674297
Sum774062
Variance12.46782024
MonotocityNot monotonic
2020-12-15T13:44:55.895259image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%) 
91532416.1%
 
81413914.8%
 
71216812.8%
 
61205612.6%
 
51016310.7%
 
1067147.0%
 
446954.9%
 
1140534.2%
 
1228183.0%
 
023802.5%
 
Other values (12)1090211.4%
 
ValueCountFrequency (%) 
023802.5%
 
1670.1%
 
24220.4%
 
312701.3%
 
446954.9%
 
ValueCountFrequency (%) 
211630.2%
 
2015491.6%
 
193910.4%
 
186210.7%
 
176830.7%
 

MHUC2
Real number (ℝ≥0)

ZEROS

Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.331551587
Minimum0
Maximum5
Zeros3667
Zeros (%)3.8%
Memory size745.4 KiB
2020-12-15T13:44:56.005301image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median2
Q33
95-th percentile4
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8668688143
Coefficient of variation (CV)0.371799114
Kurtosis1.339682317
Mean2.331551587
Median Absolute Deviation (MAD)0
Skewness0.06323499986
Sum222458
Variance0.7514615412
MonotocityNot monotonic
2020-12-15T13:44:56.110682image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%) 
25492457.6%
 
32447025.6%
 
476678.0%
 
137223.9%
 
036673.8%
 
59621.0%
 
ValueCountFrequency (%) 
036673.8%
 
137223.9%
 
25492457.6%
 
32447025.6%
 
476678.0%
 
ValueCountFrequency (%) 
59621.0%
 
476678.0%
 
32447025.6%
 
25492457.6%
 
137223.9%
 

AC1
Real number (ℝ≥0)

ZEROS

Distinct37
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.82587096
Minimum0
Maximum99
Zeros2497
Zeros (%)2.6%
Memory size745.4 KiB
2020-12-15T13:44:56.239487image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median6
Q37
95-th percentile11
Maximum99
Range99
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.87034354
Coefficient of variation (CV)0.4926891722
Kurtosis26.57245735
Mean5.82587096
Median Absolute Deviation (MAD)2
Skewness1.497452874
Sum555858
Variance8.238872039
MonotocityNot monotonic
2020-12-15T13:44:56.384932image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%) 
61593016.7%
 
51453015.2%
 
71315213.8%
 
41172012.3%
 
883508.8%
 
382528.6%
 
251235.4%
 
950855.3%
 
1031533.3%
 
024972.6%
 
Other values (27)76208.0%
 
ValueCountFrequency (%) 
024972.6%
 
123092.4%
 
251235.4%
 
382528.6%
 
41172012.3%
 
ValueCountFrequency (%) 
992< 0.1%
 
501< 0.1%
 
401< 0.1%
 
392< 0.1%
 
381< 0.1%
 

AC2
Real number (ℝ≥0)

ZEROS

Distinct39
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.981333585
Minimum0
Maximum99
Zeros2602
Zeros (%)2.7%
Memory size745.4 KiB
2020-12-15T13:44:56.531911image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median6
Q38
95-th percentile12
Maximum99
Range99
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.252164918
Coefficient of variation (CV)0.5437190339
Kurtosis12.44787179
Mean5.981333585
Median Absolute Deviation (MAD)2
Skewness1.402726423
Sum570691
Variance10.57657665
MonotocityNot monotonic
2020-12-15T13:44:56.679689image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%) 
61385014.5%
 
51331714.0%
 
71164112.2%
 
41143712.0%
 
387619.2%
 
883638.8%
 
257736.1%
 
955275.8%
 
1037003.9%
 
128763.0%
 
Other values (29)1016710.7%
 
ValueCountFrequency (%) 
026022.7%
 
128763.0%
 
257736.1%
 
387619.2%
 
41143712.0%
 
ValueCountFrequency (%) 
991< 0.1%
 
541< 0.1%
 
504< 0.1%
 
473< 0.1%
 
421< 0.1%
 

ADATE_2
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size745.4 KiB
2017-06-01
95399 
2017-04-01
 
13
ValueCountFrequency (%) 
2017-06-0195399> 99.9%
 
2017-04-0113< 0.1%
 
2020-12-15T13:44:56.817128image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ADATE_3
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing1950
Missing (%)2.0%
Memory size745.4 KiB
2016-06-01
93444 
2016-04-01
 
18
ValueCountFrequency (%) 
2016-06-019344497.9%
 
2016-04-0118< 0.1%
 
(Missing)19502.0%
 
2020-12-15T13:44:56.929538image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ADATE_4
Categorical

MISSING

Distinct8
Distinct (%)< 0.1%
Missing2191
Missing (%)2.3%
Memory size745.4 KiB
2016-04-01
92405 
2016-07-01
 
403
2016-05-01
 
199
2016-09-01
 
178
2016-03-01
 
21
Other values (3)
 
15
ValueCountFrequency (%) 
2016-04-019240596.8%
 
2016-07-014030.4%
 
2016-05-011990.2%
 
2016-09-011780.2%
 
2016-03-0121< 0.1%
 
2015-12-016< 0.1%
 
2016-02-016< 0.1%
 
2015-11-013< 0.1%
 
(Missing)21912.3%
 
2020-12-15T13:44:57.044074image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ADATE_5
Categorical

MISSING

Distinct1
Distinct (%)< 0.1%
Missing33590
Missing (%)35.2%
Memory size745.4 KiB
2016-04-01
61822 
ValueCountFrequency (%) 
2016-04-016182264.8%
 
(Missing)3359035.2%
 
2020-12-15T13:44:57.158753image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ADATE_6
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing3557
Missing (%)3.7%
Memory size745.4 KiB
2016-03-01
91804 
2016-01-01
 
51
ValueCountFrequency (%) 
2016-03-019180496.2%
 
2016-01-01510.1%
 
(Missing)35573.7%
 
2020-12-15T13:44:57.270179image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ADATE_7
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing8874
Missing (%)9.3%
Memory size745.4 KiB
2016-02-01
81512 
2016-01-01
 
4906
2015-12-01
 
120
ValueCountFrequency (%) 
2016-02-018151285.4%
 
2016-01-0149065.1%
 
2015-12-011200.1%
 
(Missing)88749.3%
 
2020-12-15T13:44:57.392667image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ADATE_8
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing3511
Missing (%)3.7%
Memory size745.4 KiB
2016-01-01
85468 
2015-12-01
 
6360
2015-11-01
 
51
2016-03-01
 
18
2016-05-01
 
4
ValueCountFrequency (%) 
2016-01-018546889.6%
 
2015-12-0163606.7%
 
2015-11-01510.1%
 
2016-03-0118< 0.1%
 
2016-05-014< 0.1%
 
(Missing)35113.7%
 
2020-12-15T13:44:57.526633image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ADATE_9
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing11245
Missing (%)11.8%
Memory size745.4 KiB
2015-11-01
80718 
2015-09-01
 
2689
2015-10-01
 
760
ValueCountFrequency (%) 
2015-11-018071884.6%
 
2015-09-0126892.8%
 
2015-10-017600.8%
 
(Missing)1124511.8%
 
2020-12-15T13:44:57.657325image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ADATE_10
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing32748
Missing (%)34.3%
Memory size745.4 KiB
2015-10-01
57562 
2015-11-01
 
5102
ValueCountFrequency (%) 
2015-10-015756260.3%
 
2015-11-0151025.3%
 
(Missing)3274834.3%
 
2020-12-15T13:44:57.787779image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ADATE_11
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing10422
Missing (%)10.9%
Memory size745.4 KiB
2015-10-01
58631 
2015-09-01
22160 
2015-11-01
 
4133
2015-08-01
 
66
ValueCountFrequency (%) 
2015-10-015863161.5%
 
2015-09-012216023.2%
 
2015-11-0141334.3%
 
2015-08-01660.1%
 
(Missing)1042210.9%
 
2020-12-15T13:44:57.911327image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ADATE_12
Categorical

MISSING

Distinct4
Distinct (%)< 0.1%
Missing8923
Missing (%)9.4%
Memory size745.4 KiB
2015-08-01
49299 
2015-09-01
36442 
2015-10-01
 
686
2015-07-01
 
62
ValueCountFrequency (%) 
2015-08-014929951.7%
 
2015-09-013644238.2%
 
2015-10-016860.7%
 
2015-07-01620.1%
 
(Missing)89239.4%
 
2020-12-15T13:44:58.042205image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ADATE_14
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing18867
Missing (%)19.8%
Memory size745.4 KiB
2015-06-01
76381 
2015-04-01
 
164
ValueCountFrequency (%) 
2015-06-017638180.1%
 
2015-04-011640.2%
 
(Missing)1886719.8%
 
2020-12-15T13:44:58.169749image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ADATE_16
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing20364
Missing (%)21.3%
Memory size745.4 KiB
2015-03-01
73422 
2015-04-01
 
1502
2015-02-01
 
124
ValueCountFrequency (%) 
2015-03-017342277.0%
 
2015-04-0115021.6%
 
2015-02-011240.1%
 
(Missing)2036421.3%
 
2020-12-15T13:44:58.303688image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ADATE_17
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing27650
Missing (%)29.0%
Memory size745.4 KiB
2015-02-01
62326 
2015-01-01
 
5417
2015-03-01
 
19
ValueCountFrequency (%) 
2015-02-016232665.3%
 
2015-01-0154175.7%
 
2015-03-0119< 0.1%
 
(Missing)2765029.0%
 
2020-12-15T13:44:58.456309image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ADATE_18
Categorical

MISSING

Distinct9
Distinct (%)< 0.1%
Missing21263
Missing (%)22.3%
Memory size745.4 KiB
2015-01-01
43453 
2014-12-01
30521 
2014-11-01
 
98
2014-09-01
 
31
2015-05-01
 
15
Other values (4)
 
31
ValueCountFrequency (%) 
2015-01-014345345.5%
 
2014-12-013052132.0%
 
2014-11-01980.1%
 
2014-09-0131< 0.1%
 
2015-05-0115< 0.1%
 
2015-04-0110< 0.1%
 
2015-02-018< 0.1%
 
2015-08-017< 0.1%
 
2015-03-016< 0.1%
 
(Missing)2126322.3%
 
2020-12-15T13:44:58.595286image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ADATE_19
Categorical

MISSING

Distinct3
Distinct (%)< 0.1%
Missing24480
Missing (%)25.7%
Memory size745.4 KiB
2014-11-01
69304 
2014-09-01
 
1546
2014-10-01
 
82
ValueCountFrequency (%) 
2014-11-016930472.6%
 
2014-09-0115461.6%
 
2014-10-01820.1%
 
(Missing)2448025.7%
 
2020-12-15T13:44:58.729942image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ADATE_21
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing35212
Missing (%)36.9%
Memory size745.4 KiB
2014-10-01
55865 
2014-09-01
 
4335
ValueCountFrequency (%) 
2014-10-015586558.6%
 
2014-09-0143354.5%
 
(Missing)3521236.9%
 
2020-12-15T13:44:58.860403image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ADATE_22
Categorical

MISSING

Distinct5
Distinct (%)< 0.1%
Missing25648
Missing (%)26.9%
Memory size745.4 KiB
2014-09-01
63908 
2014-08-01
 
5035
2015-06-01
 
801
2014-10-01
 
11
2014-11-01
 
9
ValueCountFrequency (%) 
2014-09-016390867.0%
 
2014-08-0150355.3%
 
2015-06-018010.8%
 
2014-10-0111< 0.1%
 
2014-11-019< 0.1%
 
(Missing)2564826.9%
 
2020-12-15T13:44:58.980052image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

ADATE_24
Categorical

MISSING

Distinct2
Distinct (%)< 0.1%
Missing36973
Missing (%)38.8%
Memory size745.4 KiB
2014-06-01
58161 
2014-05-01
 
278
ValueCountFrequency (%) 
2014-06-015816161.0%
 
2014-05-012780.3%
 
(Missing)3697338.8%
 
2020-12-15T13:44:59.104958image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

RFA_2
Categorical

Distinct14
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size745.4 KiB
L1F
30380 
L1G
12384 
L2F
10961 
L3E
7767 
L2E
4989 
Other values (9)
28931 
ValueCountFrequency (%) 
L1F3038031.8%
 
L1G1238413.0%
 
L2F1096111.5%
 
L3E77678.1%
 
L2E49895.2%
 
L4D49145.2%
 
L1E49115.1%
 
L2G45954.8%
 
L4E39724.2%
 
L3F35233.7%
 
Other values (4)70167.4%
 
2020-12-15T13:44:59.234254image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

RFA_3
Categorical

HIGH CARDINALITY
MISSING

Distinct70
Distinct (%)0.1%
Missing1950
Missing (%)2.0%
Memory size745.4 KiB
A1F
21950 
A1G
9184 
A2F
6283 
F1F
5973 
A1E
5119 
Other values (65)
44953 
ValueCountFrequency (%) 
A1F2195023.0%
 
A1G91849.6%
 
A2F62836.6%
 
F1F59736.3%
 
A1E51195.4%
 
A3E39204.1%
 
S2E33853.5%
 
A2G27472.9%
 
S4D26752.8%
 
S2F26002.7%
 
Other values (60)2962631.1%
 
2020-12-15T13:44:59.402368image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3 ?
Unique (%)< 0.1%

RFA_4
Categorical

HIGH CARDINALITY
MISSING

Distinct63
Distinct (%)0.1%
Missing2312
Missing (%)2.4%
Memory size745.4 KiB
A1F
21818 
A1G
9098 
A2F
6264 
F1F
5998 
A1E
5061 
Other values (58)
44861 
ValueCountFrequency (%) 
A1F2181822.9%
 
A1G90989.5%
 
A2F62646.6%
 
F1F59986.3%
 
A1E50615.3%
 
A3E39254.1%
 
S2E33443.5%
 
A2G27662.9%
 
S4D26382.8%
 
S2F25662.7%
 
Other values (53)2962231.0%
 
(Missing)23122.4%
 
2020-12-15T13:44:59.586668image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

RFA_5
Categorical

MISSING

Distinct40
Distinct (%)0.1%
Missing33590
Missing (%)35.2%
Memory size745.4 KiB
A1F
11027 
A1G
8393 
A2F
6029 
A3E
3362 
S2E
3192 
Other values (35)
29819 
ValueCountFrequency (%) 
A1F1102711.6%
 
A1G83938.8%
 
A2F60296.3%
 
A3E33623.5%
 
S2E31923.3%
 
A2G27362.9%
 
S4D26932.8%
 
S2F25482.7%
 
S3E21482.3%
 
S4E20542.2%
 
Other values (30)1764018.5%
 
(Missing)3359035.2%
 
2020-12-15T13:44:59.760178image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

RFA_6
Categorical

HIGH CARDINALITY
MISSING

Distinct108
Distinct (%)0.1%
Missing3557
Missing (%)3.7%
Memory size745.4 KiB
A1F
15696 
F1F
6704 
A1G
6634 
A1E
5429 
A2F
5353 
Other values (103)
52039 
ValueCountFrequency (%) 
A1F1569616.5%
 
F1F67047.0%
 
A1G66347.0%
 
A1E54295.7%
 
A2F53535.6%
 
S2E29433.1%
 
S4D26692.8%
 
F1G24492.6%
 
S2F24052.5%
 
S4E22482.4%
 
Other values (98)3932541.2%
 
(Missing)35573.7%
 
2020-12-15T13:44:59.949850image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique6 ?
Unique (%)< 0.1%

RFA_7
Categorical

HIGH CARDINALITY
MISSING

Distinct105
Distinct (%)0.1%
Missing8874
Missing (%)9.3%
Memory size745.4 KiB
A1F
10954 
A1E
6602 
A1G
 
4927
A2F
 
4830
F1F
 
3926
Other values (100)
55299 
ValueCountFrequency (%) 
A1F1095411.5%
 
A1E66026.9%
 
A1G49275.2%
 
A2F48305.1%
 
F1F39264.1%
 
P1F31053.3%
 
S2E24162.5%
 
A2E23662.5%
 
S4D21852.3%
 
S2F21662.3%
 
Other values (95)4306145.1%
 
(Missing)88749.3%
 
2020-12-15T13:45:00.146415image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique6 ?
Unique (%)< 0.1%

RFA_8
Categorical

HIGH CARDINALITY
MISSING

Distinct108
Distinct (%)0.1%
Missing3511
Missing (%)3.7%
Memory size745.4 KiB
A1F
11312 
A1E
6904 
A1G
 
5063
A2F
 
4961
F1F
 
3984
Other values (103)
59677 
ValueCountFrequency (%) 
A1F1131211.9%
 
A1E69047.2%
 
A1G50635.3%
 
A2F49615.2%
 
F1F39844.2%
 
P1F37143.9%
 
S2E26402.8%
 
S4D25822.7%
 
A2E25122.6%
 
S4E24182.5%
 
Other values (98)4581148.0%
 
(Missing)35113.7%
 
2020-12-15T13:45:00.328218image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique4 ?
Unique (%)< 0.1%

RFA_9
Categorical

HIGH CARDINALITY
MISSING

Distinct106
Distinct (%)0.1%
Missing11245
Missing (%)11.8%
Memory size745.4 KiB
A1F
9629 
A1E
7038 
A1G
 
4259
A2F
 
4155
S2E
 
2503
Other values (101)
56583 
ValueCountFrequency (%) 
A1F962910.1%
 
A1E70387.4%
 
A1G42594.5%
 
A2F41554.4%
 
S2E25032.6%
 
S4D24822.6%
 
A1D24772.6%
 
S4E23762.5%
 
A2E22642.4%
 
S2F21902.3%
 
Other values (96)4479446.9%
 
(Missing)1124511.8%
 
2020-12-15T13:45:00.511483image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique3 ?
Unique (%)< 0.1%

RFA_10
Categorical

HIGH CARDINALITY
MISSING

Distinct93
Distinct (%)0.1%
Missing32748
Missing (%)34.3%
Memory size745.4 KiB
A1F
9204 
A1E
6153 
A1G
3943 
A2F
 
3516
A2E
 
2200
Other values (88)
37648 
ValueCountFrequency (%) 
A1F92049.6%
 
A1E61536.4%
 
A1G39434.1%
 
A2F35163.7%
 
A2E22002.3%
 
S2E21782.3%
 
A1D20872.2%
 
S2F17981.9%
 
A2G16571.7%
 
S4E16271.7%
 
Other values (83)2830129.7%
 
(Missing)3274834.3%
 
2020-12-15T13:45:00.689602image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique6 ?
Unique (%)< 0.1%

RFA_11
Categorical

HIGH CARDINALITY
MISSING

Distinct100
Distinct (%)0.1%
Missing10422
Missing (%)10.9%
Memory size745.4 KiB
A1F
9745 
A1E
7029 
A1G
 
4144
A2F
 
3735
S2E
 
2607
Other values (95)
57730 
ValueCountFrequency (%) 
A1F974510.2%
 
A1E70297.4%
 
A1G41444.3%
 
A2F37353.9%
 
S2E26072.7%
 
A1D25752.7%
 
A2E25302.7%
 
S4D23172.4%
 
S4E22502.4%
 
S2F20082.1%
 
Other values (90)4605048.3%
 
(Missing)1042210.9%
 
2020-12-15T13:45:00.910652image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

RFA_12
Categorical

HIGH CARDINALITY
MISSING

Distinct106
Distinct (%)0.1%
Missing8923
Missing (%)9.4%
Memory size745.4 KiB
A1F
9857 
A1E
7121 
A1G
 
4199
A2F
 
3783
A1D
 
2621
Other values (101)
58908 
ValueCountFrequency (%) 
A1F985710.3%
 
A1E71217.5%
 
A1G41994.4%
 
A2F37834.0%
 
A1D26212.7%
 
S2E26162.7%
 
A2E25642.7%
 
P1F24472.6%
 
S4D23612.5%
 
S4E22712.4%
 
Other values (96)4664948.9%
 
(Missing)89239.4%
 
2020-12-15T13:45:01.154386image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)< 0.1%

RFA_14
Categorical

HIGH CARDINALITY
MISSING

Distinct94
Distinct (%)0.1%
Missing18867
Missing (%)19.8%
Memory size745.4 KiB
A1F
8053 
A1E
7766 
A1G
 
3740
A1D
 
3577
A2F
 
3001
Other values (89)
50408 
ValueCountFrequency (%) 
A1F80538.4%
 
A1E77668.1%
 
A1G37403.9%
 
A1D35773.7%
 
A2F30013.1%
 
A2E26932.8%
 
S2E25972.7%
 
F1E22272.3%
 
L1F21232.2%
 
F1D19042.0%
 
Other values (84)3886440.7%
 
(Missing)1886719.8%
 
2020-12-15T13:45:01.374985image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)< 0.1%

RFA_16
Categorical

HIGH CARDINALITY
MISSING

Distinct122
Distinct (%)0.2%
Missing20417
Missing (%)21.4%
Memory size745.4 KiB
A1E
7080 
A1F
6445 
A1D
 
3322
A1G
 
3053
A2F
 
2669
Other values (117)
52426 
ValueCountFrequency (%) 
A1E70807.4%
 
A1F64456.8%
 
A1D33223.5%
 
A1G30533.2%
 
A2F26692.8%
 
A2E24182.5%
 
S2E24142.5%
 
S4E22182.3%
 
S4D21262.2%
 
F1D19532.0%
 
Other values (112)4129743.3%
 
(Missing)2041721.4%
 
2020-12-15T13:45:01.577155image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique4 ?
Unique (%)< 0.1%

RFA_17
Categorical

HIGH CARDINALITY
MISSING

Distinct117
Distinct (%)0.2%
Missing27650
Missing (%)29.0%
Memory size745.4 KiB
A1E
6773 
A1F
5328 
A1D
 
3645
A1G
 
2305
A2E
 
2217
Other values (112)
47494 
ValueCountFrequency (%) 
A1E67737.1%
 
A1F53285.6%
 
A1D36453.8%
 
A1G23052.4%
 
A2E22172.3%
 
S2E20662.2%
 
A2F20112.1%
 
S4E19392.0%
 
S4D18601.9%
 
P1E16141.7%
 
Other values (107)3800439.8%
 
(Missing)2765029.0%
 
2020-12-15T13:45:01.772108image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique4 ?
Unique (%)< 0.1%

RFA_18
Categorical

HIGH CARDINALITY
MISSING

Distinct121
Distinct (%)0.2%
Missing21263
Missing (%)22.3%
Memory size745.4 KiB
A1E
7186 
A1F
5510 
A1D
 
3941
A1G
 
2408
A2E
 
2385
Other values (116)
52719 
ValueCountFrequency (%) 
A1E71867.5%
 
A1F55105.8%
 
A1D39414.1%
 
A1G24082.5%
 
A2E23852.5%
 
S4D22902.4%
 
S4E22532.4%
 
S2E22182.3%
 
A2F21282.2%
 
P1E19732.1%
 
Other values (111)4185743.9%
 
(Missing)2126322.3%
 
2020-12-15T13:45:02.029665image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique5 ?
Unique (%)< 0.1%

RFA_19
Categorical

HIGH CARDINALITY
MISSING

Distinct107
Distinct (%)0.2%
Missing24492
Missing (%)25.7%
Memory size745.4 KiB
A1E
7248 
A1F
5347 
A1D
 
4156
A1G
 
2330
S2E
 
2327
Other values (102)
49512 
ValueCountFrequency (%) 
A1E72487.6%
 
A1F53475.6%
 
A1D41564.4%
 
A1G23302.4%
 
S2E23272.4%
 
S4D22752.4%
 
A2E21532.3%
 
S4E21132.2%
 
N1D19482.0%
 
A2F19132.0%
 
Other values (97)3911041.0%
 
(Missing)2449225.7%
 
2020-12-15T13:45:02.273308image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)< 0.1%

RFA_21
Categorical

HIGH CARDINALITY
MISSING

Distinct101
Distinct (%)0.2%
Missing35212
Missing (%)36.9%
Memory size745.4 KiB
A1E
6729 
A1F
5127 
A1D
 
3607
A1G
 
2245
A2E
 
1926
Other values (96)
40566 
ValueCountFrequency (%) 
A1E67297.1%
 
A1F51275.4%
 
A1D36073.8%
 
A1G22452.4%
 
A2E19262.0%
 
S2E19152.0%
 
A2F15761.7%
 
L1E14481.5%
 
S4D13891.5%
 
S4E13451.4%
 
Other values (91)3289334.5%
 
(Missing)3521236.9%
 
2020-12-15T13:45:02.484948image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

RFA_22
Categorical

HIGH CARDINALITY
MISSING

Distinct116
Distinct (%)0.2%
Missing25648
Missing (%)26.9%
Memory size745.4 KiB
A1E
7233 
A1F
5324 
A1D
 
4113
A1G
 
2318
S2E
 
2202
Other values (111)
48574 
ValueCountFrequency (%) 
A1E72337.6%
 
A1F53245.6%
 
A1D41134.3%
 
A1G23182.4%
 
S2E22022.3%
 
A2E21412.2%
 
S4D20942.2%
 
S4E18752.0%
 
A2F17051.8%
 
L1E16851.8%
 
Other values (106)3907441.0%
 
(Missing)2564826.9%
 
2020-12-15T13:45:02.688314image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique4 ?
Unique (%)< 0.1%

RFA_24
Categorical

HIGH CARDINALITY
MISSING

Distinct96
Distinct (%)0.2%
Missing36973
Missing (%)38.8%
Memory size745.4 KiB
A1E
7227 
A1F
5032 
A1D
4563 
F1D
 
3315
A1G
 
2187
Other values (91)
36115 
ValueCountFrequency (%) 
A1E72277.6%
 
A1F50325.3%
 
A1D45634.8%
 
F1D33153.5%
 
A1G21872.3%
 
A2E21572.3%
 
S2E21132.2%
 
S4D18371.9%
 
S4E16591.7%
 
A2F16251.7%
 
Other values (86)2672428.0%
 
(Missing)3697338.8%
 
2020-12-15T13:45:02.891737image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique2 ?
Unique (%)< 0.1%

CARDPROM
Real number (ℝ≥0)

Distinct59
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.43514443
Minimum1
Maximum61
Zeros0
Zeros (%)0.0%
Memory size745.4 KiB
2020-12-15T13:45:03.079922image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q111
median18
Q325
95-th percentile32
Maximum61
Range60
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.583794136
Coefficient of variation (CV)0.4656212036
Kurtosis-0.9301725084
Mean18.43514443
Median Absolute Deviation (MAD)7
Skewness0.1497821067
Sum1758934
Variance73.68152177
MonotocityNot monotonic
2020-12-15T13:45:03.256339image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
649615.2%
 
1540854.3%
 
540844.3%
 
1138354.0%
 
937453.9%
 
1035633.7%
 
2334803.6%
 
2234313.6%
 
2434273.6%
 
2034003.6%
 
Other values (49)5740160.2%
 
ValueCountFrequency (%) 
12< 0.1%
 
217< 0.1%
 
32300.2%
 
45730.6%
 
540844.3%
 
ValueCountFrequency (%) 
611< 0.1%
 
581< 0.1%
 
571< 0.1%
 
562< 0.1%
 
553< 0.1%
 

MAXADATE
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size745.4 KiB
2017-02-01
95014 
2016-12-01
 
333
2016-11-01
 
56
2017-01-01
 
8
2016-08-01
 
1
ValueCountFrequency (%) 
2017-02-019501499.6%
 
2016-12-013330.3%
 
2016-11-01560.1%
 
2017-01-018< 0.1%
 
2016-08-011< 0.1%
 
2020-12-15T13:45:03.418569image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique1 ?
Unique (%)< 0.1%

NUMPROM
Real number (ℝ≥0)

Distinct165
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.97334717
Minimum4
Maximum195
Zeros0
Zeros (%)0.0%
Memory size745.4 KiB
2020-12-15T13:45:03.566876image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile14
Q127
median47
Q364
95-th percentile82
Maximum195
Range191
Interquartile range (IQR)37

Descriptive statistics

Standard deviation22.97037815
Coefficient of variation (CV)0.4890087579
Kurtosis0.01847322777
Mean46.97334717
Median Absolute Deviation (MAD)18
Skewness0.4375712893
Sum4481821
Variance527.6382725
MonotocityNot monotonic
2020-12-15T13:45:03.776314image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1327182.8%
 
1425132.6%
 
1519202.0%
 
2418241.9%
 
2517561.8%
 
2215911.7%
 
2315261.6%
 
5715241.6%
 
5514871.6%
 
6014781.5%
 
Other values (155)7707580.8%
 
ValueCountFrequency (%) 
46< 0.1%
 
533< 0.1%
 
615< 0.1%
 
7720.1%
 
8510.1%
 
ValueCountFrequency (%) 
1951< 0.1%
 
1941< 0.1%
 
1792< 0.1%
 
1771< 0.1%
 
1742< 0.1%
 

CARDPM12
Real number (ℝ≥0)

Distinct19
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.348939337
Minimum0
Maximum19
Zeros21
Zeros (%)< 0.1%
Memory size745.4 KiB
2020-12-15T13:45:03.984649image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median6
Q36
95-th percentile6
Maximum19
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.219785337
Coefficient of variation (CV)0.2280424698
Kurtosis5.084637087
Mean5.348939337
Median Absolute Deviation (MAD)0
Skewness0.3122560036
Sum510353
Variance1.487876269
MonotocityNot monotonic
2020-12-15T13:45:04.105922image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%) 
65068553.1%
 
51868419.6%
 
41673217.5%
 
338214.0%
 
214781.5%
 
714781.5%
 
89030.9%
 
114790.5%
 
94570.5%
 
103000.3%
 
Other values (9)3950.4%
 
ValueCountFrequency (%) 
021< 0.1%
 
12790.3%
 
214781.5%
 
338214.0%
 
41673217.5%
 
ValueCountFrequency (%) 
191< 0.1%
 
177< 0.1%
 
164< 0.1%
 
153< 0.1%
 
146< 0.1%
 

NUMPRM12
Real number (ℝ≥0)

Distinct63
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.85693623
Minimum1
Maximum78
Zeros0
Zeros (%)0.0%
Memory size745.4 KiB
2020-12-15T13:45:04.266759image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q111
median12
Q313
95-th percentile22
Maximum78
Range77
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.544033396
Coefficient of variation (CV)0.3534304996
Kurtosis13.13759842
Mean12.85693623
Median Absolute Deviation (MAD)1
Skewness2.993891383
Sum1226706
Variance20.64823951
MonotocityNot monotonic
2020-12-15T13:45:04.421242image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
132461725.8%
 
121844019.3%
 
111090411.4%
 
101001410.5%
 
1494819.9%
 
938574.0%
 
1534823.6%
 
828072.9%
 
719832.1%
 
169951.0%
 
Other values (53)88329.3%
 
ValueCountFrequency (%) 
11< 0.1%
 
216< 0.1%
 
333< 0.1%
 
44120.4%
 
54170.4%
 
ValueCountFrequency (%) 
781< 0.1%
 
671< 0.1%
 
651< 0.1%
 
641< 0.1%
 
601< 0.1%
 

RAMNTALL
Real number (ℝ≥0)

Distinct2094
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.4893511
Minimum13
Maximum9485
Zeros0
Zeros (%)0.0%
Memory size745.4 KiB
2020-12-15T13:45:04.586163image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile20
Q140
median78
Q3131
95-th percentile273
Maximum9485
Range9472
Interquartile range (IQR)91

Descriptive statistics

Standard deviation118.5803669
Coefficient of variation (CV)1.134855998
Kurtosis652.6194703
Mean104.4893511
Median Absolute Deviation (MAD)43
Skewness13.91247497
Sum9969537.97
Variance14061.30341
MonotocityNot monotonic
2020-12-15T13:45:04.744384image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
2042064.4%
 
2536963.9%
 
1533953.6%
 
3025732.7%
 
4015951.7%
 
5015621.6%
 
3515171.6%
 
4513391.4%
 
5511161.2%
 
609981.0%
 
Other values (2084)7341576.9%
 
ValueCountFrequency (%) 
131< 0.1%
 
141< 0.1%
 
1533953.6%
 
15.51< 0.1%
 
15.751< 0.1%
 
ValueCountFrequency (%) 
94851< 0.1%
 
6346.571< 0.1%
 
5674.91< 0.1%
 
46001< 0.1%
 
39861< 0.1%
 

NGIFTALL
Real number (ℝ≥0)

Distinct89
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.602031191
Minimum1
Maximum237
Zeros0
Zeros (%)0.0%
Memory size745.4 KiB
2020-12-15T13:45:04.899990image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median7
Q313
95-th percentile26
Maximum237
Range236
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.554341513
Coefficient of variation (CV)0.8908887446
Kurtosis11.48094056
Mean9.602031191
Median Absolute Deviation (MAD)5
Skewness2.0786619
Sum916149
Variance73.17675872
MonotocityNot monotonic
2020-12-15T13:45:05.058285image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
11000810.5%
 
277228.1%
 
371897.5%
 
470197.4%
 
562936.6%
 
656755.9%
 
751905.4%
 
846414.9%
 
940774.3%
 
1039034.1%
 
Other values (79)3369535.3%
 
ValueCountFrequency (%) 
11000810.5%
 
277228.1%
 
371897.5%
 
470197.4%
 
562936.6%
 
ValueCountFrequency (%) 
2371< 0.1%
 
1471< 0.1%
 
1161< 0.1%
 
951< 0.1%
 
911< 0.1%
 

CARDGIFT
Real number (ℝ≥0)

ZEROS

Distinct37
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.05824215
Minimum0
Maximum41
Zeros4968
Zeros (%)5.2%
Memory size745.4 KiB
2020-12-15T13:45:05.211506image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q37
95-th percentile14
Maximum41
Range41
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.526650587
Coefficient of variation (CV)0.894905869
Kurtosis2.219971163
Mean5.05824215
Median Absolute Deviation (MAD)3
Skewness1.425945095
Sum482617
Variance20.49056554
MonotocityNot monotonic
2020-12-15T13:45:05.341898image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%) 
11754818.4%
 
21334914.0%
 
31043310.9%
 
484228.8%
 
567437.1%
 
660386.3%
 
751065.4%
 
049685.2%
 
843264.5%
 
935113.7%
 
Other values (27)1496815.7%
 
ValueCountFrequency (%) 
049685.2%
 
11754818.4%
 
21334914.0%
 
31043310.9%
 
484228.8%
 
ValueCountFrequency (%) 
411< 0.1%
 
362< 0.1%
 
341< 0.1%
 
332< 0.1%
 
322< 0.1%
 

MINRAMNT
Real number (ℝ≥0)

SKEWED

Distinct191
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.933655725
Minimum0
Maximum1000
Zeros584
Zeros (%)0.6%
Memory size745.4 KiB
2020-12-15T13:45:05.489195image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median5
Q310
95-th percentile23
Maximum1000
Range1000
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.784230587
Coefficient of variation (CV)1.107210962
Kurtosis2018.406088
Mean7.933655725
Median Absolute Deviation (MAD)2
Skewness23.84991926
Sum756965.96
Variance77.16270701
MonotocityNot monotonic
2020-12-15T13:45:05.650238image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
53455936.2%
 
31776318.6%
 
101467915.4%
 
1557356.0%
 
2055375.8%
 
251825.4%
 
2534513.6%
 
115561.6%
 
413371.4%
 
613131.4%
 
Other values (181)43004.5%
 
ValueCountFrequency (%) 
05840.6%
 
0.0134< 0.1%
 
0.029< 0.1%
 
0.0315< 0.1%
 
0.0422< 0.1%
 
ValueCountFrequency (%) 
10001< 0.1%
 
5001< 0.1%
 
4502< 0.1%
 
3004< 0.1%
 
201.671< 0.1%
 

MINRDATE
Categorical

HIGH CARDINALITY

Distinct146
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size745.4 KiB
2016-02-01
 
3041
2016-01-01
 
3021
2015-12-01
 
2359
2015-09-01
 
2336
2015-10-01
 
2325
Other values (141)
82330 
ValueCountFrequency (%) 
2016-02-0130413.2%
 
2016-01-0130213.2%
 
2015-12-0123592.5%
 
2015-09-0123362.4%
 
2015-10-0123252.4%
 
2015-06-0123092.4%
 
2014-01-0121772.3%
 
2015-01-0120542.2%
 
2013-10-0119442.0%
 
2016-03-0118822.0%
 
Other values (136)7196475.4%
 
2020-12-15T13:45:05.829810image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique16 ?
Unique (%)< 0.1%

MAXRAMNT
Real number (ℝ≥0)

SKEWED

Distinct275
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.99978975
Minimum5
Maximum5000
Zeros0
Zeros (%)0.0%
Memory size745.4 KiB
2020-12-15T13:45:05.984057image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8
Q114
median17
Q323
95-th percentile40
Maximum5000
Range4995
Interquartile range (IQR)9

Descriptive statistics

Standard deviation25.06774564
Coefficient of variation (CV)1.253400458
Kurtosis17672.19731
Mean19.99978975
Median Absolute Deviation (MAD)4
Skewness99.78376176
Sum1908219.94
Variance628.3918714
MonotocityNot monotonic
2020-12-15T13:45:06.138931image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
151841419.3%
 
201830019.2%
 
251227012.9%
 
1094059.9%
 
1638084.0%
 
1236773.9%
 
3029123.1%
 
1127082.8%
 
1723152.4%
 
5022112.3%
 
Other values (265)1939220.3%
 
ValueCountFrequency (%) 
513321.4%
 
5.251< 0.1%
 
5.31< 0.1%
 
5.61< 0.1%
 
611211.2%
 
ValueCountFrequency (%) 
50001< 0.1%
 
26021< 0.1%
 
10005< 0.1%
 
6004< 0.1%
 
5631< 0.1%
 

MAXRDATE
Categorical

HIGH CARDINALITY

Distinct150
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size745.4 KiB
2015-12-01
10563 
2016-01-01
6812 
2015-09-01
6120 
2016-02-01
 
5875
2015-04-01
 
5218
Other values (145)
60824 
ValueCountFrequency (%) 
2015-12-011056311.1%
 
2016-01-0168127.1%
 
2015-09-0161206.4%
 
2016-02-0158756.2%
 
2015-04-0152185.5%
 
2015-11-0151755.4%
 
2015-10-0145234.7%
 
2015-06-0143944.6%
 
2014-12-0143734.6%
 
2016-03-0133723.5%
 
Other values (140)3898740.9%
 
2020-12-15T13:45:06.308959image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique18 ?
Unique (%)< 0.1%

LASTGIFT
Real number (ℝ≥0)

Distinct231
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.31312697
Minimum0
Maximum1000
Zeros390
Zeros (%)0.4%
Memory size745.4 KiB
2020-12-15T13:45:06.464118image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q110
median15
Q320
95-th percentile30
Maximum1000
Range1000
Interquartile range (IQR)10

Descriptive statistics

Standard deviation13.95663008
Coefficient of variation (CV)0.8061299443
Kurtosis728.4238882
Mean17.31312697
Median Absolute Deviation (MAD)5
Skewness16.28668036
Sum1651880.07
Variance194.7875231
MonotocityNot monotonic
2020-12-15T13:45:06.620694image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
151777618.6%
 
201583816.6%
 
101425614.9%
 
251014910.6%
 
549495.2%
 
1230133.2%
 
1629493.1%
 
1721042.2%
 
620062.1%
 
3019802.1%
 
Other values (221)2039221.4%
 
ValueCountFrequency (%) 
03900.4%
 
0.011< 0.1%
 
141< 0.1%
 
1.281< 0.1%
 
1.52< 0.1%
 
ValueCountFrequency (%) 
10002< 0.1%
 
5631< 0.1%
 
5008< 0.1%
 
4501< 0.1%
 
4151< 0.1%
 

LASTDATE
Categorical

Distinct24
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size745.4 KiB
2015-12-01
19896 
2016-01-01
11986 
2016-02-01
11118 
2016-03-01
10499 
2015-11-01
8236 
Other values (19)
33677 
ValueCountFrequency (%) 
2015-12-011989620.9%
 
2016-01-011198612.6%
 
2016-02-011111811.7%
 
2016-03-011049911.0%
 
2015-11-0182368.6%
 
2015-09-0164246.7%
 
2015-10-0154055.7%
 
2015-06-0144414.7%
 
2015-04-0144044.6%
 
2015-07-0129513.1%
 
Other values (14)1005210.5%
 
2020-12-15T13:45:06.785353image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

FISTDATE
Categorical

HIGH CARDINALITY

Distinct176
Distinct (%)0.2%
Missing2
Missing (%)< 0.1%
Memory size745.4 KiB
2015-01-01
 
2957
2014-01-01
 
2770
2013-10-01
 
2646
2014-10-01
 
2451
2016-01-01
 
2406
Other values (171)
82180 
ValueCountFrequency (%) 
2015-01-0129573.1%
 
2014-01-0127702.9%
 
2013-10-0126462.8%
 
2014-10-0124512.6%
 
2016-01-0124062.5%
 
2016-02-0122812.4%
 
2006-08-0122192.3%
 
2006-12-0121452.2%
 
2015-09-0121272.2%
 
2014-09-0121172.2%
 
Other values (166)7129174.7%
 
2020-12-15T13:45:06.960175image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique23 ?
Unique (%)< 0.1%

NEXTDATE
Categorical

HIGH CARDINALITY
MISSING

Distinct188
Distinct (%)0.2%
Missing9973
Missing (%)10.5%
Memory size745.4 KiB
2015-04-01
 
2253
2014-12-01
 
1970
2007-03-01
 
1959
2015-12-01
 
1870
2006-12-01
 
1688
Other values (183)
75699 
ValueCountFrequency (%) 
2015-04-0122532.4%
 
2014-12-0119702.1%
 
2007-03-0119592.1%
 
2015-12-0118702.0%
 
2006-12-0116881.8%
 
2015-06-0115461.6%
 
2014-04-0114581.5%
 
2013-12-0113581.4%
 
2012-05-0113561.4%
 
2015-11-0113401.4%
 
Other values (178)6864171.9%
 
(Missing)997310.5%
 
2020-12-15T13:45:07.138392image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique33 ?
Unique (%)< 0.1%

TIMELAG
Real number (ℝ≥0)

MISSING
SKEWED

Distinct68
Distinct (%)0.1%
Missing9973
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean8.093739393
Minimum0
Maximum1088
Zeros904
Zeros (%)0.9%
Memory size745.4 KiB
2020-12-15T13:45:07.297834image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median6
Q311
95-th percentile21
Maximum1088
Range1088
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.213241766
Coefficient of variation (CV)1.014764791
Kurtosis6551.563272
Mean8.093739393
Median Absolute Deviation (MAD)3
Skewness52.6241642
Sum691521
Variance67.45734031
MonotocityNot monotonic
2020-12-15T13:45:07.460650image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
585849.0%
 
484908.9%
 
384858.9%
 
666487.0%
 
262756.6%
 
758586.1%
 
852655.5%
 
944884.7%
 
139204.1%
 
1038024.0%
 
Other values (58)2362424.8%
 
(Missing)997310.5%
 
ValueCountFrequency (%) 
09040.9%
 
139204.1%
 
262756.6%
 
384858.9%
 
484908.9%
 
ValueCountFrequency (%) 
10881< 0.1%
 
10441< 0.1%
 
4421< 0.1%
 
901< 0.1%
 
891< 0.1%
 

AVGGIFT
Real number (ℝ≥0)

SKEWED

Distinct7713
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.34778598
Minimum1.285714286
Maximum1000
Zeros0
Zeros (%)0.0%
Memory size745.4 KiB
2020-12-15T13:45:07.626685image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1.285714286
5-th percentile5
Q18.384615385
median11.63636364
Q315.47795455
95-th percentile25
Maximum1000
Range998.7142857
Interquartile range (IQR)7.093339161

Descriptive statistics

Standard deviation10.76999744
Coefficient of variation (CV)0.8068751969
Kurtosis1753.511873
Mean13.34778598
Median Absolute Deviation (MAD)3.386363636
Skewness26.0494288
Sum1273538.956
Variance115.9928449
MonotocityNot monotonic
2020-12-15T13:45:07.789229image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1560206.3%
 
2045664.8%
 
2526592.8%
 
1022272.3%
 
12.518001.9%
 
1313681.4%
 
911471.2%
 
119891.0%
 
128880.9%
 
148840.9%
 
Other values (7703)7286476.4%
 
ValueCountFrequency (%) 
1.2857142861< 0.1%
 
1.3636363641< 0.1%
 
1.51< 0.1%
 
1.5743243241< 0.1%
 
1.61< 0.1%
 
ValueCountFrequency (%) 
10001< 0.1%
 
948.51< 0.1%
 
705.17444441< 0.1%
 
506.51< 0.1%
 
5002< 0.1%
 

CONTROLN
Real number (ℝ≥0)

UNIQUE

Distinct95412
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95778.17696
Minimum1
Maximum191779
Zeros0
Zeros (%)0.0%
Memory size745.4 KiB
2020-12-15T13:45:07.993060image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9660.1
Q147910.75
median95681.5
Q3143643.5
95-th percentile182097.15
Maximum191779
Range191778
Interquartile range (IQR)95732.75

Descriptive statistics

Standard deviation55284.59609
Coefficient of variation (CV)0.5772149549
Kurtosis-1.198155851
Mean95778.17696
Median Absolute Deviation (MAD)47871
Skewness0.002343395326
Sum9138387420
Variance3056386565
MonotocityNot monotonic
2020-12-15T13:45:08.167685image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%) 
1332041< 0.1%
 
1171641< 0.1%
 
188441< 0.1%
 
1337841< 0.1%
 
1540141< 0.1%
 
1519671< 0.1%
 
1110111< 0.1%
 
1253521< 0.1%
 
1233051< 0.1%
 
421571< 0.1%
 
Other values (95402)95402> 99.9%
 
ValueCountFrequency (%) 
11< 0.1%
 
21< 0.1%
 
41< 0.1%
 
51< 0.1%
 
71< 0.1%
 
ValueCountFrequency (%) 
1917791< 0.1%
 
1917781< 0.1%
 
1917771< 0.1%
 
1917751< 0.1%
 
1917721< 0.1%
 

HPHONE_D
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size745.4 KiB
1
47765 
0
47647 
ValueCountFrequency (%) 
14776550.1%
 
04764749.9%
 

RFA_2R
Categorical

CONSTANT
REJECTED

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size745.4 KiB
L
95412 
ValueCountFrequency (%) 
L95412100.0%
 
2020-12-15T13:45:08.325060image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

RFA_2F
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size745.4 KiB
1
47675 
2
20545 
3
15291 
4
11901 
ValueCountFrequency (%) 
14767550.0%
 
22054521.5%
 
31529116.0%
 
41190112.5%
 
2020-12-15T13:45:08.446407image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

RFA_2A
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size745.4 KiB
F
46964 
E
21639 
G
19397 
D
7412 
ValueCountFrequency (%) 
F4696449.2%
 
E2163922.7%
 
G1939720.3%
 
D74127.8%
 
2020-12-15T13:45:08.579212image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

MDMAUD_R
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size745.4 KiB
X
95118 
C
 
109
L
 
70
D
 
65
I
 
50
ValueCountFrequency (%) 
X9511899.7%
 
C1090.1%
 
L700.1%
 
D650.1%
 
I500.1%
 
2020-12-15T13:45:08.713350image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

MDMAUD_F
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size745.4 KiB
X
95118 
1
 
187
2
 
87
5
 
20
ValueCountFrequency (%) 
X9511899.7%
 
11870.2%
 
2870.1%
 
520< 0.1%
 
2020-12-15T13:45:08.832410image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

MDMAUD_A
Categorical

Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size745.4 KiB
X
95118 
C
 
249
L
 
23
M
 
17
T
 
5
ValueCountFrequency (%) 
X9511899.7%
 
C2490.3%
 
L23< 0.1%
 
M17< 0.1%
 
T5< 0.1%
 
2020-12-15T13:45:08.950247image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

GEOCODE2
Categorical

Distinct4
Distinct (%)< 0.1%
Missing319
Missing (%)0.3%
Memory size745.4 KiB
A
34484 
B
28505 
D
16580 
C
15524 
ValueCountFrequency (%) 
A3448436.1%
 
B2850529.9%
 
D1658017.4%
 
C1552416.3%
 
(Missing)3190.3%
 
2020-12-15T13:45:09.082741image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/
Frequencies of value counts

Unique

Unique0 ?
Unique (%)0.0%

Correlations

2020-12-15T13:45:09.824499image/svg+xmlMatplotlib v3.3.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.